[FreeCourseSite.com] Udemy - 2023 Become AWS SageMaker ML Engineer in 30 Days + ChatGPT

Creation Time	Aug. 18, 2024, 7:14 p.m.
Last Access Time	Sept. 18, 2024, 10:08 a.m.
File Size	19.2 GB
Keywords	30 FreeCourseSite AWS in - Days Udemy SageMaker 2023 Become ChatGPT ML com Engineer
Total Requests	13
Total Files	969
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

21 - Day 16 XG-Boost Regression in Scikit-Learn/007 XG-Boost Algorithm Deep Dive (with examples).mp4 374.1 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/003 Artificial Intelligence (AI) Vs. Machine Learning (ML) Vs. Deep Learning (DL).mp4 254.3 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/005 Key Ingredients to Build Machine Learning Models.mp4 246.3 MB
14 - Day 10 Amazon SageMaker Data Wrangler/007 Normalization vs. Standardization (Feature Scaling in Machine Learning).mp4 244.7 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/009 Coding Task #3 - Train a Linear Learner Model in SageMaker.mp4 230.6 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/005 Data Sources and Types.mp4 210.5 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/006 Bias Variance Tradeoff.mp4 205.7 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/004 SageMaker Built-in XG-Boost Algorithm.mp4 191.5 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/017 Final Capstone Project Solution.mp4 182.7 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/004 AWS SageMaker Linear Learner Algorithm Overview.mp4 179.5 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/003 Intro to SageMaker.mp4 170.9 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/009 Identity and Access Management (IAM) & Multifactor Authentication (MFA).mp4 152.5 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/003 What is AWS & Cloud Computing Who Uses them What are their benefits.mp4 150.1 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/006 Invoke a Lambda Function Using Boto3 SDK.mp4 145.7 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/004 Machine Learning The Big Picture.mp4 143.6 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/004 K Nearest Neighbors Algorithm 101.mp4 142.2 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/008 Coding Task 2 - Perform Data Visualization.mp4 136.0 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/010 Practice Opportunity #3.mp4 131.0 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/007 L2 Regularization (Ridge Regression).mp4 127.3 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/006 Coding Task #3 - Train a Linear Learner Model in SageMaker (Multiple Regression).mp4 125.6 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/004 Amazon SageMaker Autopilot.mp4 125.5 MB
14 - Day 10 Amazon SageMaker Data Wrangler/004 Data Wrangler 101.mp4 124.8 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/004 Data Visualization 101.mp4 122.2 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/005 Define a Lambda Function Using Boto3 SDK.mp4 121.9 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/004 Hyperparameters 101.mp4 121.7 MB
14 - Day 10 Amazon SageMaker Data Wrangler/017 Final Capstone Project - Solutions.mp4 115.9 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/008 Coding Task 4 - Deploy Trained SageMaker Built-in XG-Boost Algorithm.mp4 113.8 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/024 Final End of Day Capstone Project Solutions.mp4 110.3 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/008 Elastic Compute Cloud (EC2) Deep Dive & Demo.mp4 109.5 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/006 Coding Task 3 - Train an XG-Boost Algo (without Hyperparameters Optimization).mp4 104.9 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/005 What is Boosting.mp4 104.4 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/011 Final End-of-Day Capstone Project Solution.mp4 103.8 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/010 AWS SageMaker GroundTruth Demo Part 2.mp4 102.7 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/007 Demo Launch a Training Job in AWS SageMaker Console.mp4 101.6 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/006 Scikit-Learn Library Overview.mp4 100.2 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/009 AWS SageMaker GroundTruth Demo Part 1.mp4 99.4 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/011 Coding Task #4 - Deploy Endpoint.mp4 99.1 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/020 Final Capstone Project Solution Part 2.mp4 98.9 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/003 Exploratory Data Analysis (EDA) 101.mp4 98.6 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/004 Synchronous Vs. Asynchronous Invocations.mp4 97.2 MB
38 - Day 29 Lambda Functions Using AWS Console/005 AWS Lambda Functions 101.mp4 96.4 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/005 Coding Task #2 - Perform EDA and Visualization.mp4 95.7 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/008 L1 Regularization (Lasso Regression).mp4 95.3 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/015 Coding Task 4 - Train Models with AutoGluon.mp4 93.1 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/014 Final Capstone Project Solution.mp4 91.0 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/013 Coding Task 6 - Train SageMaker Built-in KNN Algorithm.mp4 89.3 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/021 Coding Task 8 - Plot Correlation Heatmaps, Displot and Pairplot.mp4 86.7 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/008 Coding Task 2 - Perform Exploratory Data Analysis.mp4 86.4 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/005 Jupyter Notebooks and SageMaker Studio Setup.mp4 86.4 MB
23 - Day 18 AWS SageMaker JumpStart/009 JumpStart Demo Part 4 - Invoke Endpoint.mp4 86.3 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/007 SageMaker Demo 4 - SageMaker Studio 101.mp4 86.2 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/013 Coding Task 5 - Train XG-Boost SageMaker.mp4 84.9 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/011 Final Capstone Project Solution Part 1.mp4 84.4 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/012 Final Capstone Project Solution - Part 2.mp4 82.9 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/005 Hyperparameters Optimization Strategies.mp4 82.3 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/008 Coding Task 5 - Perform HyperParameters Optimization in SageMaker.mp4 82.0 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/006 Ensemble Learning.mp4 81.9 MB
38 - Day 29 Lambda Functions Using AWS Console/004 Machine Learning Workflows 101.mp4 80.9 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/006 Coding Task 2 - Train SageMaker Built-in XG-Boost Algorithm - Part 1.mp4 80.5 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/007 SageMaker Autopilot Demo 3 - Candidate Notebooks & Model Deployment.mp4 80.4 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/010 Final Capstone Project Solution Part 2.mp4 79.6 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/016 Coding Task 7 - Correlations and Histograms.mp4 79.1 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/011 Final Capstone Project Solution 2.mp4 78.7 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/020 Capstone Project Solutions.mp4 77.9 MB
14 - Day 10 Amazon SageMaker Data Wrangler/013 Data Wrangler Demo 6 - Perform Custom and Feature Scaling.mp4 77.3 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/014 Final Capstone Project Solution Part 1.mp4 77.3 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/004 SageMaker Demo 1 - Walkthrough & Create Notebook instance.mp4 74.7 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/006 SageMaker Demo 3 - AWS Marketplace (Yolo V3 Object Detector).mp4 74.0 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/007 AutoGluon 101.mp4 73.8 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/006 Seaborn Overview.mp4 73.7 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/005 AutoGluon for Classification Tasks.mp4 73.6 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/009 Final Capstone Project Solution Part 1.mp4 71.6 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/004 XG-Boost 101 [Review].mp4 71.2 MB
23 - Day 18 AWS SageMaker JumpStart/006 JumpStart Demo Part 1 - Data Upload.mp4 71.2 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/003 Project Overview and Card.mp4 70.9 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/003 Project Overview.mp4 70.6 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/011 Final Capstone Project Solution - Part 1.mp4 70.2 MB
23 - Day 18 AWS SageMaker JumpStart/005 Data Split for SageMaker JumpStart.mp4 69.5 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/003 Project Overview.mp4 68.3 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/005 Practice Opportunity.mp4 68.2 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/009 Demo Deploy an Endpoint.mp4 67.1 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/007 Coding Task 1 - Plot line plot in Matplotlib.mp4 67.1 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/010 Coding Task 2 - Perform EDA and Visualization.mp4 67.0 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/006 Regression Recap.mp4 66.4 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/006 Why Do We Need Labeled Datasets.mp4 66.0 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/006 Coding Task 2 - Perform Data Visualization.mp4 65.9 MB
38 - Day 29 Lambda Functions Using AWS Console/012 Final Capstone Project Solution.mp4 64.7 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/014 Coding Task 7 - Evaluate trained model performance.mp4 64.4 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/013 Appendix Review Classification Models KPIs.mp4 63.5 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/005 Classifier Models KPIs.mp4 63.5 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/010 Classifier Models Key Performance Indicators (KPIs) & Metrics.mp4 63.5 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/004 Success Stories Price Prediction with AIML.mp4 63.5 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/009 SageMaker GroundTruth Pricing.mp4 63.4 MB
31 - Day 24 ChatGPT for Programmers/007 Leverage ChatGPT to Add New Features to Your Code.mp4 63.1 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/007 Semantic Segmentation in Groundtruth Demo #1.mp4 63.0 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/012 Final Capstone Project - Solution.mp4 62.8 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/004 AWS Signup and AWS Management Console Tour.mp4 62.7 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/007 Coding Task 3 - Train SageMaker Built-in XG-Boost Algorithm - Part 2.mp4 62.6 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/010 Final Capstone Project Solution 1.mp4 62.5 MB
31 - Day 24 ChatGPT for Programmers/002 Prepare a Study Plan and Find Best Resources (CoursesBooks) with ChatGPT.mp4 62.2 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/008 Json Lines and Manifest Files 101.mp4 62.1 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/016 Coding Task 5 - Evaluate Trained Models.mp4 62.1 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/008 Project Demo Part 3 - Model Evaluation and Analysis.mp4 61.8 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/007 Regression Metrics - Part #2.mp4 61.6 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/019 Final Capstone Projects - Solutions.mp4 61.6 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/007 Coding Task #1 - Import Libraries and Datasets.mp4 61.4 MB
31 - Day 24 ChatGPT for Programmers/006 Conduct Code Review With ChatGPT.mp4 61.3 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/009 Deploy Best Model and Assess its Performance.mp4 61.2 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/004 Introduction to XG-Boost Algorithm.mp4 61.1 MB
14 - Day 10 Amazon SageMaker Data Wrangler/012 Data Wrangler Demo 5 - Data Impute, Handle Missing and 1-Hot Encoding.mp4 60.3 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/005 Practice Opportunity 1.mp4 59.9 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/012 Practice Opportunity #4.mp4 59.8 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/008 Coding Task #4 - Deploy an Endpoint.mp4 59.6 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/011 Coding Task 2 - Perform Data Cleaning.mp4 59.1 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/014 Coding Task 7 - K Nearest Neighbors (KNN).mp4 58.6 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/006 What's Included in the AWS Free Tier.mp4 58.3 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/011 Coding Task #2 - EDA and Data Visualization.mp4 58.1 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/006 Coding Task 2 - Access Elements in Pandas DataFrame.mp4 57.9 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/019 Coding Task 7 - Plot Countplot and Scatterplot in Seaborn.mp4 57.7 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/003 Project Overview.mp4 57.4 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/004 AI Applications in Business.mp4 57.1 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/014 Coding Task 6 - Deploy and Test XG-Boost Model.mp4 56.7 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/007 Coding Task #2 - Import Libraries and Datasets.mp4 56.5 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/008 AutoGluon Presets and Fit Parameters.mp4 56.2 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/005 Regions Vs. Availability Zones.mp4 55.6 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/017 Coding Task 6 - Hyperparameters Optimization Using GridSearchCV.mp4 55.5 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/017 Final Capstone Project Solution Part 1.mp4 55.2 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/008 Semantic Segmentation in Groundtruth Demo #2.mp4 54.6 MB
23 - Day 18 AWS SageMaker JumpStart/012 Final Capstone Project Solution Part 2.mp4 54.4 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/003 Project Overview and AWS Groundtruth.mp4 54.4 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/008 Demo Analyze Training Job Outputs and Metrics.mp4 54.3 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/005 Least Sum of Squares.mp4 54.3 MB
31 - Day 24 ChatGPT for Programmers/004 Perform Code Debugging Using ChatGPT.mp4 54.3 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/007 Practice Opportunity #1.mp4 54.0 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/004 Labeling Text Data in SageMaker GroundTruth - Demo Part #1.mp4 53.4 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/013 Coding Task #3 - EDA and Data Visualization 2.mp4 53.4 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/008 Practice Opportunity #2.mp4 52.6 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/012 Coding Task 5 - Pandas Operations and Filtering.mp4 52.4 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/007 Billing Dashboard and Alarm Setup.mp4 51.9 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/008 SageMaker Demo 5 - SageMaker Canvas 101.mp4 51.4 MB
23 - Day 18 AWS SageMaker JumpStart/011 Final Capstone Project Solution Part 1.mp4 51.1 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/012 Coding Task 3 - Perform Data Visualization.mp4 50.9 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/012 Coding Task 5 - Support Vector Machines (SVM).mp4 50.6 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/011 Coding Task #3 - Perform Data Visualization.mp4 50.4 MB
14 - Day 10 Amazon SageMaker Data Wrangler/011 Data Wrangler Demo 4 - Bias Report, Remove Duplicates & Feature Importance.mp4 49.9 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/007 Coding Task 4 - DeployTest XG-Boost Algo (without Hyperparameters Optimization).mp4 49.8 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/022 Practice Opportunity 8.mp4 49.4 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/007 Practice Opportunity 1.mp4 49.2 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/009 Coding Task #1 - Import Key LibrariesDatasets.mp4 49.0 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/008 Request Service Limit Increase.mp4 48.9 MB
31 - Day 24 ChatGPT for Programmers/009 Perform Code Documentation With ChatGPT.mp4 48.6 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/022 Final Capstone Project Solution.mp4 48.4 MB
14 - Day 10 Amazon SageMaker Data Wrangler/008 Data Wrangler Demo 1 - Import Data From S3.mp4 48.4 MB
31 - Day 24 ChatGPT for Programmers/005 Optimize Your Code With ChatGPT.mp4 48.3 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/006 Regression Metrics - Part #1.mp4 48.0 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/007 Lambda Invocation with EventBridge.mp4 47.9 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/019 Final Capstone Project Solution Part 1.mp4 47.7 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/020 Final Capstone Project - Solution.mp4 47.5 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/016 Practice Opportunity 5.mp4 47.5 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/003 Overview of AWS SageMaker Built-in Algorithms.mp4 47.4 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/005 K Nearest Neighbors in SageMaker.mp4 47.3 MB
14 - Day 10 Amazon SageMaker Data Wrangler/009 Data Wrangler Demo 2 - Change Datatypes & Generate Summary Table.mp4 47.1 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/003 Project Overview.mp4 46.7 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/009 Practice Opportunity 3.mp4 46.7 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/015 Final Capstone Project Solution Part 2.mp4 46.6 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/009 Practice Opportunity 1.mp4 45.8 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/016 Coding Task 8 - Naïve Bayes Classifier Models.mp4 45.7 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/013 Final Capstone Project Solution.mp4 45.6 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/005 Coding Task 1 - Import datalibraries and Perform EDA.mp4 45.6 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/018 Practice Opportunity #5.mp4 45.2 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/004 Coding Task 1 - Import and Explore Dataset.mp4 44.1 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/018 Final Capstone Project Solution Part 2.mp4 44.0 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/006 Coding Task 2 - Deal with Missing Dataset.mp4 43.7 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/007 Simple Storage Service (S3) Deep Dive & Demo.mp4 43.0 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/010 Coding Task 4 - Pandas and Functions.mp4 42.9 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/005 SageMaker Demo 2 - Write your first code.mp4 42.7 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/004 AWS SageMaker Canvas 101.mp4 42.6 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/005 Matplotlib Overview.mp4 42.2 MB
38 - Day 29 Lambda Functions Using AWS Console/008 Demo #2 Part #1 Define a Lambda Function.mp4 42.1 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/011 Final End-of-Day Capstone Project Solution.mp4 42.1 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/011 Coding Task 4 - Train and Evaluate XG-Boost.mp4 41.7 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/005 Coding Task 2 - Visualize Data.mp4 41.6 MB
38 - Day 29 Lambda Functions Using AWS Console/010 Demo #2 Part #3 Monitor a Lambda Function.mp4 41.5 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/013 Additional Topic GroundTruth Plus and Auto-Labeling.mp4 41.3 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/010 Coding Task 4 - Label-based Indexing with .Loc().mp4 41.3 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/013 Coding Task 6 - Random Forest Classifier Model.mp4 41.2 MB
23 - Day 18 AWS SageMaker JumpStart/004 AWS SageMaker JumpStart Overview.mp4 41.0 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/023 Final End of Day Capstone Project Questions.mp4 40.7 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/010 SageMaker Demo 7 - Train Machine Learning Model.mp4 40.5 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/010 Coding Task 3 - Train Classification Model using AutoGluon.mp4 40.0 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/013 Coding Task #4 - Prepare the Data Before Model Training.mp4 39.8 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/006 Coding Task 1 - Define Pandas DataFrame.mp4 39.7 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/004 21st Century New Gold!.mp4 39.5 MB
14 - Day 10 Amazon SageMaker Data Wrangler/005 Feature Engineering 101.mp4 39.4 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/013 Coding Task 3 - Visualize Dataset.mp4 38.9 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/005 Coding Task #1 - Problem Overview.mp4 38.3 MB
31 - Day 24 ChatGPT for Programmers/008 Use ChatGPT to Test and Validate Your Code.mp4 38.2 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/003 Project Overview and Project Card.mp4 38.2 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/011 Coding Task 4 - Evaluate Classification Model using AutoGluon.mp4 37.9 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/012 Final Capstone Project Solution Part 2.mp4 37.9 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/021 Final Capstone Project Solution Part 3.mp4 37.8 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/014 Coding Task 4 - Split the Data into TrainingTesting.mp4 37.7 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/016 Final Capstone Project Question.mp4 37.5 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/006 Key AIML Components in AWS.mp4 37.3 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/017 Practice Opportunity 5.mp4 37.2 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/016 Final Capstone Project Solution.mp4 37.1 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/004 The Rise of Machine Learning in Higher Education.mp4 36.9 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/018 Practice Opportunity #6.mp4 36.7 MB
31 - Day 24 ChatGPT for Programmers/001 Find the Proper Programming Language Syntax Using ChatGPT and GPT-4.mp4 36.3 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/014 Final Capstone Project Solution Part 4.mp4 36.1 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/012 Final Capstone Project - Solution.mp4 36.1 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/018 Practice Opportunity 4.mp4 36.0 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/015 Practice Opportunity 4.mp4 36.0 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/017 Practice Opportunity 7.mp4 35.9 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/006 Project Demo Part 1 - Upload data to S3 and Launch Canvas.mp4 35.5 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/015 Practice Opportunity 6.mp4 35.3 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/012 Final Capstone Project Solution.mp4 34.3 MB
14 - Day 10 Amazon SageMaker Data Wrangler/014 Data Wrangler Demo 7 - Export Dataflow.mp4 34.0 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/017 Practice Opportunity 4.mp4 33.8 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/003 Project Overview.mp4 33.6 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/003 Project Overview.mp4 33.6 MB
31 - Day 24 ChatGPT for Programmers/010 Convert from One Programming Language to Another Using ChatGPT.mp4 33.5 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/004 Coding Task 1 - Import Datasets.mp4 33.3 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/012 Practice Opportunity 3.mp4 33.2 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/020 Coding Task 8 - Hyperparameters Optimization Using Bayesian Optimizers.mp4 33.2 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/007 Practice Opportunity 1.mp4 31.7 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/005 SageMaker Autopilot Demo 1 - Upload Data and Train Model.mp4 31.7 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/012 Practice Opportunity #2.mp4 31.6 MB
14 - Day 10 Amazon SageMaker Data Wrangler/006 One-Hot Encoding 101.mp4 31.5 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/009 Coding Task 1 - Import AutoGluon and data Import.mp4 31.4 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/005 Multiple Linear Regression 101.mp4 31.3 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/013 Coding Task 4 - Plot Scatterplots in Matplotlib.mp4 31.3 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/006 Labeling Text Data in SageMaker GroundTruth - Demo Part #3.mp4 31.2 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/005 Success Stories in Human Resources.mp4 31.0 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/008 Coding Task 2 - Perform Data Visualization.mp4 30.7 MB
31 - Day 24 ChatGPT for Programmers/003 Perform Code Generation and Design Using ChatGPT.mp4 30.6 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/004 Classification Models KPIs [ReviewSkip if Familiar].mp4 30.5 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/009 SageMaker Demo 6 - Upload data to S3.mp4 30.5 MB
01 - Introduction/001 Welcome To the Course!.mp4 30.2 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/012 Coding Task 5 - Integer-based Indexing with .iLoc().mp4 30.0 MB
14 - Day 10 Amazon SageMaker Data Wrangler/010 Data Wrangler Demo 3 - Data Visualization.mp4 29.9 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/008 Coding Task 3 - Plot Feature Importance.mp4 29.9 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/012 Final Capstone Project Question.mp4 29.2 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/004 Coding Task 1 - Import and Clean Datasets.mp4 29.0 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/006 Coding Task 1 - Import Libraries and Datasets.mp4 28.9 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/011 Practice Opportunity 4.mp4 28.9 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/008 Coding Task 3 - Delete and Add Columns.mp4 28.7 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/010 Practice Opportunity - GroundTruth Pricing.mp4 28.5 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/014 Practice Opportunity #3.mp4 28.3 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/007 Practice Opportunity 2.mp4 27.9 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/010 Coding Task 3 - SetReset Index in Pandas.mp4 27.2 MB
38 - Day 29 Lambda Functions Using AWS Console/007 Demo #1 Define and Test AWS Lambda Function.mp4 27.0 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/005 Simple and Multiple Linear Regression [Recap].mp4 26.9 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/012 Practice Opportunity 3.mp4 26.8 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/017 Coding Task #5 - Train ML Model in Scikit-Learn.mp4 26.8 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/006 SageMaker Autopilot Demo 2 - Analyze Trained Models.mp4 26.7 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/007 Project Demo Part 2 - Train the Model.mp4 26.6 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/006 Coding Task 1 - Import Datasets and AutoGloun.mp4 26.4 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/009 Coding Task 4 - Logistic Regression.mp4 26.3 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/015 Coding Task 5 - Plot Pie Charts in Matplotlib.mp4 26.2 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/010 Final Capstone Project - Solutions.mp4 26.1 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/003 Project Overview and Key Learning Outcomes.mp4 25.9 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/003 Introduction and Project Overview.mp4 25.9 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/010 Practice Opportunity #2.mp4 25.8 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/013 Practice Opportunity 5.mp4 25.3 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/013 Final Capstone Project Solution Part 3.mp4 25.1 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/015 Train a Simple Linear Regression Model in SK-Learn.mp4 24.9 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/015 Coding Task 5 - Train an XG-Boost Algorithm in SKLearn.mp4 24.9 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/018 Coding Task 9 - Compare Classifier Models.mp4 24.9 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/011 Practice Opportunity 4.mp4 24.6 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/014 Coding Task 6 - Perform EDA on Both Classes.mp4 24.3 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/009 Practice Opportunity 2.mp4 24.1 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/017 Practice Opportunity 7.mp4 24.1 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/003 Project Overview and Card.mp4 23.6 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/013 Practice Opportunity 5.mp4 23.4 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/016 Coding Task 7 - Sorting Pandas DataFrames.mp4 23.4 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/017 Coding Task 6 - Plot Histograms in Matplotlib.mp4 23.4 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/019 Capstone Project Questions.mp4 23.3 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/010 Final End-of-Day Capstone Project Question.mp4 23.2 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/010 Practice Opportunity #1.mp4 22.8 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/014 Coding Task 6 - Broadcasting Operation.mp4 22.5 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/006 Practice Opportunity #1.mp4 22.3 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/017 Evaluate Trained Model Performance.mp4 22.1 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/007 Practice Opportunity 1.mp4 22.1 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/014 Practice Opportunity 3.mp4 21.8 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/004 Coding Task #1 - Notebook Walkthrough Project Overview.mp4 21.7 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/015 Coding Task #4 - Prepare the Data For Model Training.mp4 21.4 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/014 Coding Task 4 - Train and Test XG-Boost Algorithm.mp4 21.1 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/008 Coding Task 2 - Load CSV and Statistical Analysis.mp4 20.7 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/015 Practice Opportunity 6.mp4 20.7 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/004 Simple Linear Regression 101.mp4 20.6 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/005 Practice Opportunity 1.mp4 20.5 MB
38 - Day 29 Lambda Functions Using AWS Console/009 Demo #2 Part #2 Test a Lambda Function.mp4 20.4 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/012 Practice Opportunity 3.mp4 20.4 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/004 Coding Task 1 - Import Libraries and Datasets.mp4 20.3 MB
23 - Day 18 AWS SageMaker JumpStart/010 Final Capstone Project Question.mp4 20.2 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/011 Practice Opportunity 3.mp4 20.0 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/016 Practice Opportunity #4.mp4 19.9 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/019 Coding Task 7 - Hyperparameters Using Random Search.mp4 19.8 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/010 Final Capstone Project Question.mp4 19.6 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/001 Day Welcome Message.mp4 19.1 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/016 Final Capstone Project Solution Part 3.mp4 18.9 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/009 Practice Opportunity 2.mp4 18.8 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/018 Final Capstone Project Question.mp4 18.7 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/008 Coding Task 3 - Change Pandas DataFrame datatypes.mp4 18.5 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/009 Coding Task 1 - Import Libraries and Datasets.mp4 18.5 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/007 Practice Opportunity 2.mp4 18.0 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/010 Coding Task 3 - Prepare the data for Model Training.mp4 18.0 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/011 Practice Opportunity 2.mp4 17.8 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/006 Practice Opportunity 1.mp4 17.6 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/006 Coding Task 1 - Understand the Problem Statement and Load Data.mp4 17.3 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/008 Coding Task 1 - Project Overview and Import data.mp4 17.2 MB
38 - Day 29 Lambda Functions Using AWS Console/006 AWS Lambda Functions Anatomy.mp4 16.9 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/008 Practice Opportunity 1.mp4 16.9 MB
23 - Day 18 AWS SageMaker JumpStart/007 JumpStart Demo Part 2 - Train the Model.mp4 16.7 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/003 Project Overview.mp4 16.6 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/001 Day Welcome Message.mp4 16.6 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/013 Final Capstone Project Question.mp4 16.5 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/003 Project Overview.mp4 16.5 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/003 Project Overview.mp4 16.4 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/003 Project Overview.mp4 16.4 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/007 Data Labeling Challenges and Applications.mp4 16.1 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/004 Project Overview - EDA with Pandas.mp4 16.0 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/013 Practice Opportunity 2.mp4 15.9 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/018 Final Capstone Projects - Questions.mp4 15.7 MB
38 - Day 29 Lambda Functions Using AWS Console/003 Introduction to AWS Lambda and Key Learning Outcomes.mp4 15.5 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/011 Final Capstone Project - Question.mp4 15.5 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/010 Practice Opportunity 1.mp4 15.5 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/009 Practice Opportunity 2.mp4 15.1 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/011 Coding Task 4 - Train KNN Model in SKLearn.mp4 15.0 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/018 Practice Opportunity 6.mp4 14.8 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/003 Introduction and Key Learning Outcomes.mp4 14.8 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/009 Project Demo Part 4 - Generate Predictions.mp4 14.5 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/002 Text-Bounding-Boxes-Semantic-Labeling.zip 14.2 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/011 Coding Task 2 - Perform Exploratory Data Analysis (EDA).mp4 14.1 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/005 Practice Opportunity 1.mp4 14.1 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/019 Final Capstone Project - Questions.mp4 13.9 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/014 Practice Opportunity #4.mp4 13.7 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/011 Coding Task 3 - Plot Subplots in Matplotlib.mp4 13.6 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/013 Final Capstone Project Questions.mp4 13.4 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/013 Practice Opportunity 3.mp4 13.3 MB
38 - Day 29 Lambda Functions Using AWS Console/011 Final Capstone Project Question.mp4 13.2 MB
14 - Day 10 Amazon SageMaker Data Wrangler/015 Data Wrangler Demo 8 - Shutdown Resources.mp4 13.2 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/008 Practice Opportunity #1.mp4 13.1 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/010 Final End-of-Day Capstone Project Question.mp4 13.1 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/010 Practice Opportunity 1.mp4 12.7 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/012 Coding Task 5 - Evaluate Trained Model Performance.mp4 12.6 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/007 Practice Opportunity 1.mp4 12.6 MB
23 - Day 18 AWS SageMaker JumpStart/008 JumpStart Demo Part 3 - Deploy an Endpoint.mp4 12.5 MB
14 - Day 10 Amazon SageMaker Data Wrangler/003 Project Overview.mp4 12.4 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/008 SageMaker Studio Domain Setup.mp4 12.4 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/011 Practice Opportunity 3.mp4 12.3 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/007 Practice Opportunity 2.mp4 12.1 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/009 Practice Opportunity 3.mp4 12.1 MB
14 - Day 10 Amazon SageMaker Data Wrangler/002 Data-Wrangler.zip 11.9 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/011 Final Capstone Project Question.mp4 11.8 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/012 Practice Opportunity #3.mp4 11.8 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/009 Coding Task 2 - Plot Multiple Line Plots in Matplotlib.mp4 11.7 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/010 Practice Opportunity 2.mp4 11.6 MB
23 - Day 18 AWS SageMaker JumpStart/003 Project Introduction and Key Learning Outcomes.mp4 11.6 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/003 Project Card [Skip If Familiar].mp4 11.5 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/005 Labeling Text Data in SageMaker GroundTruth - Demo Part #2.mp4 11.4 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/002 AWS-Essentials-Starter-Pack-Part-2.zip 11.3 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/002 AWS-Essentials-Starter-Pack-Part-3.zip 11.2 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/003 Project Overview.mp4 10.8 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/008 Final Capstone Project Question.mp4 10.8 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/009 Coding Task #2 - Explore the Data.mp4 10.6 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/012 Practice Opportunity 2.mp4 10.6 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/002 XGboost-in-SKLearn.zip 10.5 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/016 Practice Opportunity #5.mp4 10.3 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/015 Practice Opportunity 4.mp4 10.2 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/002 Labeling-Images-in-SageMaker-GroundTruth.zip 10.1 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/015 Practice Opportunity 4.mp4 10.0 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/003 Project Overview & AutoGluon for Tabular Data.mp4 9.8 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/002 AWS-Essentials-Starter-Pack-Part-1.pptx 9.5 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/012 Coding Task 3 - Prepare the Data for Model Training.mp4 9.1 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/010 Coding Task 3 - Split the data.mp4 8.9 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/009 Practice Opportunity 1.mp4 8.6 MB
14 - Day 10 Amazon SageMaker Data Wrangler/016 Final Capstone Project - Questions.mp4 8.5 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/001 Day Welcome Message.mp4 8.2 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/003 Project Overview and Key Learning Outcomes.mp4 8.2 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/009 Practice Opportunity 2.mp4 7.9 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/001 Day Welcome Message.mp4 7.8 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/016 Practice Opportunity 3.mp4 7.7 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/002 XG-Boost-Classification.zip 7.7 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/001 Day Welcome Message.mp4 7.7 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/014 Practice Opportunity 4.mp4 7.6 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/001 Day Welcome Message.mp4 7.4 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/001 Day Welcome Message.mp4 7.2 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/001 Day Welcome Message.mp4 7.1 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/010 Final Capstone Project Question.mp4 6.9 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/001 Day Welcome Message.mp4 6.8 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/001 Day Welcome Message.mp4 6.8 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/019 Coding Task 10 - Concluding Remarks.mp4 6.6 MB
14 - Day 10 Amazon SageMaker Data Wrangler/001 Day Welcome Message.mp4 6.5 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/021 Final Capstone Project Question.mp4 6.5 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/001 Day Welcome Message.mp4 6.4 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/001 Day Welcome Message.mp4 6.3 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/011 Final Capstone Project - Question.mp4 6.3 MB
23 - Day 18 AWS SageMaker JumpStart/002 AWS-SageMaker-JumpStart.zip 6.3 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/001 Day Welcome Message.mp4 6.2 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/020 Practice Opportunity 7.mp4 6.1 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/001 Day Welcome Message.mp4 6.1 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/008 Resources Cleanup [Important].mp4 6.0 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/002 Training-Job-from-SageMaker-Console.zip 5.9 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/002 AutoGluon-for-Tabular-ML-Regression.zip 5.8 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/001 Day Welcome Message.mp4 5.7 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/002 AutoGluon-for-Tabular-ML-Classification.zip 5.5 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/001 Day Welcome Message.mp4 5.4 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/001 Day Welcome Message.mp4 5.3 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/001 Day Welcome Message.mp4 5.3 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/001 Day Welcome Message.mp4 5.3 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/001 Day Welcome Message.mp4 5.2 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/016 Final Capstone Project Question.mp4 5.2 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/001 Day Welcome Message.mp4 5.2 MB
38 - Day 29 Lambda Functions Using AWS Console/001 Day Welcome Message.mp4 5.1 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/009 Final Capstone Project - Questions.mp4 5.1 MB
38 - Day 29 Lambda Functions Using AWS Console/002 AWS-Lambda-Functions-1.pptx 5.1 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/002 Multiple-Linear-Regression-in-SKLearn.zip 4.9 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/002 Hyperparameters-Optimization-Using-SageMaker.zip 4.7 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/009 Final Capstone Project Question.mp4 4.7 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/001 Day Welcome Message.mp4 4.7 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/001 Day Welcome Message.mp4 4.7 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/002 Compare-SKLearn-Classifier-Models.zip 4.5 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/015 Final Capstone Project Question.mp4 4.5 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/002 XG-Boost-in-SageMaker.zip 4.4 MB
23 - Day 18 AWS SageMaker JumpStart/001 Day Welcome Message.mp4 4.3 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/002 SageMaker-Autopilot.zip 4.1 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/001 Day Welcome Message.mp4 4.0 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/002 Data-Visualization.zip 3.9 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/002 No-Code-with-AWS-SageMaker-Canvas.zip 3.8 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/002 AWS-Lambda-Functions-2.zip 3.8 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/001 Day Welcome Message.mp4 3.7 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/002 Simple-Linear-Regression-in-SKLearn.zip 3.7 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/002 Hyperparameters-Optimization-SKLearn.zip 3.5 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/001 Day Welcome Message.mp4 3.5 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/002 EDA-Part-1-Crash-Course-Pandas.zip 3.2 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/002 KNN-for-Classification.zip 3.0 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/011 Day End Message.mp4 2.8 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/014 Day End Message.mp4 2.7 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/022 Day End Message.mp4 2.7 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/017 Day End Message.mp4 2.5 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/002 Simple-Linear-Regression-with-AWS-Linear-Learner.zip 2.5 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/002 Multiple-Linear-Regression-with-SageMaker-Linear-Learner.zip 2.5 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/013 Day End Message.mp4 2.4 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/014 Day End Message.mp4 2.3 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/021 Day End Message.mp4 2.2 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/021 Day End Message.mp4 2.1 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/015 Day End Message.mp4 2.1 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/002 EDA-Part-3-Crash-Course-on-Pandas-3.zip 2.0 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/023 Day End Message.mp4 2.0 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/012 Shutting Down SageMaker Canvas [Important].mp4 2.0 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/002 EDA-Part-2-Crash-Course-on-Pandas-2.zip 2.0 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/010 Day End Message.mp4 2.0 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/013 Day End Message.mp4 1.9 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/014 Day End Message.mp4 1.9 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/013 Shutdown Canvas.mp4 1.9 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/009 Day End Message.mp4 1.7 MB
38 - Day 29 Lambda Functions Using AWS Console/013 Day End Message.mp4 1.7 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/020 Day End Message.mp4 1.6 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/012 Day End Message.mp4 1.4 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/015 Day End Message.mp4 1.4 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/018 Day End Message.mp4 1.4 MB
23 - Day 18 AWS SageMaker JumpStart/013 Day End Message.mp4 1.3 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/012 Day End Message.mp4 1.3 MB
14 - Day 10 Amazon SageMaker Data Wrangler/018 Day End Message.mp4 1.2 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/017 Day End Message.mp4 1.2 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/018 Day End Message.mp4 1.2 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/014 Day End Message.mp4 1.1 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/019 Day End Message.mp4 1.1 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/020 Day End Message.mp4 1.1 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/025 Day End Message.mp4 998.2 KB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/011 Day End Message.mp4 717.3 KB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/009 Coding Task #3 - Train a Linear Learner Model in SageMaker_en.srt 35.2 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/007 XG-Boost Algorithm Deep Dive (with examples)_en.srt 34.9 KB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/005 Define a Lambda Function Using Boto3 SDK_en.srt 30.8 KB
14 - Day 10 Amazon SageMaker Data Wrangler/007 Normalization vs. Standardization (Feature Scaling in Machine Learning)_en.srt 29.6 KB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/009 Identity and Access Management (IAM) & Multifactor Authentication (MFA)_en.srt 29.6 KB
14 - Day 10 Amazon SageMaker Data Wrangler/017 Final Capstone Project - Solutions_en.srt 26.9 KB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/007 Demo Launch a Training Job in AWS SageMaker Console_en.srt 26.3 KB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/006 Invoke a Lambda Function Using Boto3 SDK_en.srt 25.9 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/017 Final Capstone Project Solution_en.srt 25.8 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/008 Coding Task 2 - Perform Data Visualization_en.srt 25.8 KB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/010 AWS SageMaker GroundTruth Demo Part 2_en.srt 24.3 KB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/011 Final End-of-Day Capstone Project Solution_en.srt 23.3 KB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/008 Elastic Compute Cloud (EC2) Deep Dive & Demo_en.srt 22.4 KB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/007 SageMaker Demo 4 - SageMaker Studio 101_en.srt 22.2 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/006 Bias Variance Tradeoff_en.srt 22.2 KB
38 - Day 29 Lambda Functions Using AWS Console/012 Final Capstone Project Solution_en.srt 21.4 KB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/011 Final End-of-Day Capstone Project Solution_en.srt 21.3 KB
14 - Day 10 Amazon SageMaker Data Wrangler/013 Data Wrangler Demo 6 - Perform Custom and Feature Scaling_en.srt 21.1 KB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/004 AWS SageMaker Linear Learner Algorithm Overview_en.srt 21.0 KB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/007 Simple Storage Service (S3) Deep Dive & Demo_en.srt 20.9 KB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/004 Amazon SageMaker Autopilot_en.srt 20.6 KB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/009 AWS SageMaker GroundTruth Demo Part 1_en.srt 20.2 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/016 Coding Task 8 - Naïve Bayes Classifier Models_en.srt 20.1 KB
26 - Day 20 Hyperparameters Optimization in SageMaker/006 Coding Task 3 - Train an XG-Boost Algo (without Hyperparameters Optimization)_en.srt 20.0 KB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/008 Project Demo Part 3 - Model Evaluation and Analysis_en.srt 19.8 KB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/003 Artificial Intelligence (AI) Vs. Machine Learning (ML) Vs. Deep Learning (DL)_en.srt 19.8 KB
31 - Day 24 ChatGPT for Programmers/005 Optimize Your Code With ChatGPT_en.srt 19.8 KB
23 - Day 18 AWS SageMaker JumpStart/006 JumpStart Demo Part 1 - Data Upload_en.srt 19.5 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/010 Classifier Models Key Performance Indicators (KPIs) & Metrics_en.srt 19.5 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/005 Classifier Models KPIs_en.srt 19.5 KB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/013 Appendix Review Classification Models KPIs_en.srt 19.5 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/020 Final Capstone Project - Solution_en.srt 19.0 KB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/005 Key Ingredients to Build Machine Learning Models_en.srt 19.0 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/013 Coding Task 6 - Train SageMaker Built-in KNN Algorithm_en.srt 19.0 KB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/007 Project Demo Part 2 - Train the Model_en.srt 18.9 KB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/009 Demo Deploy an Endpoint_en.srt 18.6 KB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/005 Data Sources and Types_en.srt 18.5 KB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/004 SageMaker Demo 1 - Walkthrough & Create Notebook instance_en.srt 18.4 KB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/003 Intro to SageMaker_en.srt 18.2 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/013 Coding Task 5 - Train XG-Boost SageMaker_en.srt 18.2 KB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/006 Coding Task #3 - Train a Linear Learner Model in SageMaker (Multiple Regression)_en.srt 18.1 KB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/009 Final Capstone Project Solution Part 1_en.srt 18.0 KB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/005 SageMaker Autopilot Demo 1 - Upload Data and Train Model_en.srt 17.9 KB
38 - Day 29 Lambda Functions Using AWS Console/005 AWS Lambda Functions 101_en.srt 17.9 KB
23 - Day 18 AWS SageMaker JumpStart/009 JumpStart Demo Part 4 - Invoke Endpoint_en.srt 17.9 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/006 Regression Metrics - Part #1_en.srt 17.9 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/008 AutoGluon Presets and Fit Parameters_en.srt 17.4 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/005 Least Sum of Squares_en.srt 17.3 KB
31 - Day 24 ChatGPT for Programmers/001 Find the Proper Programming Language Syntax Using ChatGPT and GPT-4_en.srt 17.1 KB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/004 SageMaker Built-in XG-Boost Algorithm_en.srt 16.8 KB
31 - Day 24 ChatGPT for Programmers/006 Conduct Code Review With ChatGPT_en.srt 16.8 KB
31 - Day 24 ChatGPT for Programmers/007 Leverage ChatGPT to Add New Features to Your Code_en.srt 16.8 KB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/011 Coding Task #4 - Deploy Endpoint_en.srt 16.7 KB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/012 Final Capstone Project - Solution_en.srt 16.7 KB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/008 Coding Task 4 - Deploy Trained SageMaker Built-in XG-Boost Algorithm_en.srt 16.6 KB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/010 Final Capstone Project Solution Part 2_en.srt 16.2 KB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/005 SageMaker Demo 2 - Write your first code_en.srt 15.8 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/024 Final End of Day Capstone Project Solutions_en.srt 15.8 KB
31 - Day 24 ChatGPT for Programmers/002 Prepare a Study Plan and Find Best Resources (CoursesBooks) with ChatGPT_en.srt 15.8 KB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/007 Practice Opportunity 1_en.srt 15.7 KB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/006 Coding Task 2 - Train SageMaker Built-in XG-Boost Algorithm - Part 1_en.srt 15.6 KB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/010 Practice Opportunity #3_en.srt 15.5 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/005 What is Boosting_en.srt 15.5 KB
31 - Day 24 ChatGPT for Programmers/008 Use ChatGPT to Test and Validate Your Code_en.srt 15.5 KB
31 - Day 24 ChatGPT for Programmers/004 Perform Code Debugging Using ChatGPT_en.srt 15.4 KB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/003 Project Overview and AWS Groundtruth_en.srt 15.4 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/009 Coding Task #1 - Import Key LibrariesDatasets_en.srt 15.3 KB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/012 Final Capstone Project - Solution_en.srt 15.3 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/016 Final Capstone Project Solution_en.srt 15.1 KB
23 - Day 18 AWS SageMaker JumpStart/004 AWS SageMaker JumpStart Overview_en.srt 15.1 KB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/004 Machine Learning The Big Picture_en.srt 15.0 KB
31 - Day 24 ChatGPT for Programmers/003 Perform Code Generation and Design Using ChatGPT_en.srt 14.8 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/006 Ensemble Learning_en.srt 14.6 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/005 Hyperparameters Optimization Strategies_en.srt 14.4 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/010 Coding Task 2 - Perform EDA and Visualization_en.srt 14.3 KB
38 - Day 29 Lambda Functions Using AWS Console/004 Machine Learning Workflows 101_en.srt 14.3 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/015 Coding Task 4 - Train Models with AutoGluon_en.srt 14.2 KB
23 - Day 18 AWS SageMaker JumpStart/012 Final Capstone Project Solution Part 2_en.srt 14.2 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/004 K Nearest Neighbors Algorithm 101_en.srt 14.1 KB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/006 Coding Task 1 - Define Pandas DataFrame_en.srt 14.1 KB
14 - Day 10 Amazon SageMaker Data Wrangler/005 Feature Engineering 101_en.srt 14.1 KB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/004 Labeling Text Data in SageMaker GroundTruth - Demo Part #1_en.srt 14.0 KB
31 - Day 24 ChatGPT for Programmers/009 Perform Code Documentation With ChatGPT_en.srt 13.9 KB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/011 Final Capstone Project Solution - Part 1_en.srt 13.8 KB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/004 AWS Signup and AWS Management Console Tour_en.srt 13.8 KB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/012 Final Capstone Project Solution - Part 2_en.srt 13.8 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/021 Coding Task 8 - Plot Correlation Heatmaps, Displot and Pairplot_en.srt 13.7 KB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/005 Regions Vs. Availability Zones_en.srt 13.6 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/007 Coding Task 1 - Plot line plot in Matplotlib_en.srt 13.6 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/004 Coding Task 1 - Import and Explore Dataset_en.srt 13.5 KB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/005 Coding Task #2 - Perform EDA and Visualization_en.srt 13.5 KB
38 - Day 29 Lambda Functions Using AWS Console/008 Demo #2 Part #1 Define a Lambda Function_en.srt 13.4 KB
38 - Day 29 Lambda Functions Using AWS Console/007 Demo #1 Define and Test AWS Lambda Function_en.srt 13.4 KB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/007 SageMaker Autopilot Demo 3 - Candidate Notebooks & Model Deployment_en.srt 13.4 KB
31 - Day 24 ChatGPT for Programmers/010 Convert from One Programming Language to Another Using ChatGPT_en.srt 13.3 KB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/008 SageMaker Demo 5 - SageMaker Canvas 101_en.srt 13.3 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/014 Coding Task 7 - K Nearest Neighbors (KNN)_en.srt 13.3 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/006 Coding Task 2 - Deal with Missing Dataset_en.srt 13.3 KB
23 - Day 18 AWS SageMaker JumpStart/005 Data Split for SageMaker JumpStart_en.srt 13.2 KB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/007 Billing Dashboard and Alarm Setup_en.srt 13.1 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/008 Coding Task 2 - Perform Exploratory Data Analysis_en.srt 13.1 KB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/003 Overview of AWS SageMaker Built-in Algorithms_en.srt 13.0 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/012 Coding Task 5 - Support Vector Machines (SVM)_en.srt 12.9 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/020 Final Capstone Project Solution Part 2_en.srt 12.8 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/007 L2 Regularization (Ridge Regression)_en.srt 12.8 KB
26 - Day 20 Hyperparameters Optimization in SageMaker/008 Coding Task 5 - Perform HyperParameters Optimization in SageMaker_en.srt 12.7 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/004 Hyperparameters 101_en.srt 12.7 KB
26 - Day 20 Hyperparameters Optimization in SageMaker/003 Project Overview_en.srt 12.6 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/007 AutoGluon 101_en.srt 12.6 KB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/004 AWS SageMaker Canvas 101_en.srt 12.6 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/007 Coding Task #1 - Import Libraries and Datasets_en.srt 12.5 KB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/007 Semantic Segmentation in Groundtruth Demo #1_en.srt 12.5 KB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/014 Final Capstone Project Solution_en.srt 12.5 KB
14 - Day 10 Amazon SageMaker Data Wrangler/011 Data Wrangler Demo 4 - Bias Report, Remove Duplicates & Feature Importance_en.srt 12.4 KB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/008 Demo Analyze Training Job Outputs and Metrics_en.srt 12.4 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/016 Coding Task 5 - Evaluate Trained Models_en.srt 12.4 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/010 Coding Task 4 - Label-based Indexing with .Loc()_en.srt 12.4 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/014 Coding Task 6 - Deploy and Test XG-Boost Model_en.srt 12.3 KB
14 - Day 10 Amazon SageMaker Data Wrangler/012 Data Wrangler Demo 5 - Data Impute, Handle Missing and 1-Hot Encoding_en.srt 12.2 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/017 Final Capstone Project Solution Part 1_en.srt 12.2 KB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/006 SageMaker Demo 3 - AWS Marketplace (Yolo V3 Object Detector)_en.srt 12.2 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/006 Coding Task 2 - Perform Data Visualization_en.srt 12.0 KB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/009 SageMaker GroundTruth Pricing_en.srt 11.8 KB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/007 Coding Task 3 - Train SageMaker Built-in XG-Boost Algorithm - Part 2_en.srt 11.8 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/006 Coding Task 2 - Access Elements in Pandas DataFrame_en.srt 11.8 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/011 Coding Task #2 - EDA and Data Visualization_en.srt 11.8 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/005 Matplotlib Overview_en.srt 11.8 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/009 Coding Task 4 - Logistic Regression_en.srt 11.7 KB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/003 What is AWS & Cloud Computing Who Uses them What are their benefits_en.srt 11.7 KB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/011 Final Capstone Project Solution 2_en.srt 11.7 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/004 XG-Boost 101 [Review]_en.srt 11.7 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/011 Coding Task #3 - Perform Data Visualization_en.srt 11.6 KB
26 - Day 20 Hyperparameters Optimization in SageMaker/011 Final Capstone Project Solution Part 1_en.srt 11.5 KB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/010 SageMaker Demo 7 - Train Machine Learning Model_en.srt 11.5 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/012 Coding Task 3 - Perform Data Visualization_en.srt 11.5 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/014 Coding Task 7 - Evaluate trained model performance_en.srt 11.4 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/006 Scikit-Learn Library Overview_en.srt 11.4 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/007 Regression Metrics - Part #2_en.srt 11.2 KB
14 - Day 10 Amazon SageMaker Data Wrangler/009 Data Wrangler Demo 2 - Change Datatypes & Generate Summary Table_en.srt 11.1 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/005 Practice Opportunity_en.srt 11.0 KB
23 - Day 18 AWS SageMaker JumpStart/011 Final Capstone Project Solution Part 1_en.srt 11.0 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/020 Capstone Project Solutions_en.srt 11.0 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/004 Introduction to XG-Boost Algorithm_en.srt 11.0 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/016 Practice Opportunity 5_en.srt 10.9 KB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/012 Final Capstone Project Solution_en.srt 10.8 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/019 Coding Task 7 - Plot Countplot and Scatterplot in Seaborn_en.srt 10.8 KB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/006 What's Included in the AWS Free Tier_en.srt 10.8 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/008 Coding Task 2 - Perform Data Visualization_en.srt 10.7 KB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/006 SageMaker Autopilot Demo 2 - Analyze Trained Models_en.srt 10.7 KB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/005 Success Stories in Human Resources_en.srt 10.7 KB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/003 Exploratory Data Analysis (EDA) 101_en.srt 10.7 KB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/005 Jupyter Notebooks and SageMaker Studio Setup_en.srt 10.5 KB
14 - Day 10 Amazon SageMaker Data Wrangler/004 Data Wrangler 101_en.srt 10.5 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/017 Coding Task 6 - Hyperparameters Optimization Using GridSearchCV_en.srt 10.5 KB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/008 Semantic Segmentation in Groundtruth Demo #2_en.srt 10.5 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/006 Seaborn Overview_en.srt 10.5 KB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/006 Why Do We Need Labeled Datasets_en.srt 10.5 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/016 Final Capstone Project Question_en.srt 10.4 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/005 Practice Opportunity 1_en.srt 10.2 KB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/004 21st Century New Gold!_en.srt 10.2 KB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/010 Final Capstone Project Solution 1_en.srt 10.2 KB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/007 Lambda Invocation with EventBridge_en.srt 10.2 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/010 Practice Opportunity #2_en.srt 10.2 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/013 Coding Task 6 - Random Forest Classifier Model_en.srt 10.2 KB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/010 Coding Task 3 - SetReset Index in Pandas_en.srt 10.1 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/018 Final Capstone Project Solution Part 2_en.srt 10.0 KB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/008 Request Service Limit Increase_en.srt 9.9 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/004 Simple Linear Regression 101_en.srt 9.8 KB
14 - Day 10 Amazon SageMaker Data Wrangler/008 Data Wrangler Demo 1 - Import Data From S3_en.srt 9.8 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/011 Coding Task 4 - Train and Evaluate XG-Boost_en.srt 9.7 KB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/007 Coding Task #2 - Import Libraries and Datasets_en.srt 9.7 KB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/013 Additional Topic GroundTruth Plus and Auto-Labeling_en.srt 9.7 KB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/003 Introduction and Project Overview_en.srt 9.6 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/022 Final Capstone Project Solution_en.srt 9.6 KB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/008 Coding Task #4 - Deploy an Endpoint_en.srt 9.5 KB
14 - Day 10 Amazon SageMaker Data Wrangler/006 One-Hot Encoding 101_en.srt 9.5 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/005 AutoGluon for Classification Tasks_en.srt 9.5 KB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/009 SageMaker Demo 6 - Upload data to S3_en.srt 9.5 KB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/003 Project Overview_en.srt 9.5 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/004 Data Visualization 101_en.srt 9.4 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/012 Coding Task 5 - Pandas Operations and Filtering_en.srt 9.4 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/004 AI Applications in Business_en.srt 9.4 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/008 Coding Task 3 - Plot Feature Importance_en.srt 9.4 KB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/009 Project Demo Part 4 - Generate Predictions_en.srt 9.3 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/016 Coding Task 7 - Correlations and Histograms_en.srt 9.2 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/004 Classification Models KPIs [ReviewSkip if Familiar]_en.srt 9.2 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/017 Coding Task 6 - Plot Histograms in Matplotlib_en.srt 9.2 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/003 Project Overview and Card_en.srt 9.2 KB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/006 Project Demo Part 1 - Upload data to S3 and Launch Canvas_en.srt 9.1 KB
38 - Day 29 Lambda Functions Using AWS Console/010 Demo #2 Part #3 Monitor a Lambda Function_en.srt 9.0 KB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/005 Coding Task 1 - Import datalibraries and Perform EDA_en.srt 8.9 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/011 Coding Task 2 - Perform Data Cleaning_en.srt 8.9 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/008 L1 Regularization (Lasso Regression)_en.srt 8.8 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/019 Final Capstone Projects - Solutions_en.srt 8.8 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/003 Project Overview_en.srt 8.8 KB
26 - Day 20 Hyperparameters Optimization in SageMaker/004 Coding Task 1 - Import and Clean Datasets_en.srt 8.8 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/005 K Nearest Neighbors in SageMaker_en.srt 8.7 KB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/004 Synchronous Vs. Asynchronous Invocations_en.srt 8.6 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/008 Coding Task 3 - Delete and Add Columns_en.srt 8.6 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/008 Coding Task 1 - Project Overview and Import data_en.srt 8.6 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/015 Train a Simple Linear Regression Model in SK-Learn_en.srt 8.6 KB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/012 Practice Opportunity #4_en.srt 8.5 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/003 Project Overview_en.srt 8.5 KB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/006 Key AIML Components in AWS_en.srt 8.5 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/014 Final Capstone Project Solution Part 1_en.srt 8.4 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/012 Coding Task 5 - Integer-based Indexing with .iLoc()_en.srt 8.4 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/018 Final Capstone Project Question_en.srt 8.4 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/018 Coding Task 9 - Compare Classifier Models_en.srt 8.4 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/019 Final Capstone Project Solution Part 1_en.srt 8.4 KB
26 - Day 20 Hyperparameters Optimization in SageMaker/005 Coding Task 2 - Visualize Data_en.srt 8.4 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/014 Coding Task 4 - Train and Test XG-Boost Algorithm_en.srt 8.4 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/003 Project Overview and Card_en.srt 8.3 KB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/013 Final Capstone Project Solution_en.srt 8.3 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/015 Coding Task 5 - Train an XG-Boost Algorithm in SKLearn_en.srt 8.3 KB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/006 Labeling Text Data in SageMaker GroundTruth - Demo Part #3_en.srt 8.2 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/015 Coding Task 5 - Plot Pie Charts in Matplotlib_en.srt 8.2 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/018 Practice Opportunity #6_en.srt 8.1 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/022 Practice Opportunity 8_en.srt 8.1 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/014 Coding Task 4 - Split the Data into TrainingTesting_en.srt 8.1 KB
14 - Day 10 Amazon SageMaker Data Wrangler/010 Data Wrangler Demo 3 - Data Visualization_en.srt 8.0 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/017 Coding Task #5 - Train ML Model in Scikit-Learn_en.srt 8.0 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/013 Coding Task 3 - Visualize Dataset_en.srt 8.0 KB
23 - Day 18 AWS SageMaker JumpStart/007 JumpStart Demo Part 2 - Train the Model_en.srt 7.9 KB
26 - Day 20 Hyperparameters Optimization in SageMaker/007 Coding Task 4 - DeployTest XG-Boost Algo (without Hyperparameters Optimization)_en.srt 7.9 KB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/010 Final Capstone Project - Solutions_en.srt 7.8 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/014 Coding Task 6 - Broadcasting Operation_en.srt 7.8 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/011 Coding Task 4 - Evaluate Classification Model using AutoGluon_en.srt 7.7 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/010 Coding Task 3 - Train Classification Model using AutoGluon_en.srt 7.7 KB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/005 Simple and Multiple Linear Regression [Recap]_en.srt 7.7 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/009 Practice Opportunity 3_en.srt 7.7 KB
26 - Day 20 Hyperparameters Optimization in SageMaker/009 Deploy Best Model and Assess its Performance_en.srt 7.6 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/013 Coding Task #4 - Prepare the Data Before Model Training_en.srt 7.6 KB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/008 Coding Task 2 - Load CSV and Statistical Analysis_en.srt 7.5 KB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/008 Practice Opportunity #2_en.srt 7.5 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/009 Coding Task 1 - Import Libraries and Datasets_en.srt 7.5 KB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/009 Practice Opportunity 1_en.srt 7.5 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/014 Coding Task 6 - Perform EDA on Both Classes_en.srt 7.4 KB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/005 Labeling Text Data in SageMaker GroundTruth - Demo Part #2_en.srt 7.4 KB
14 - Day 10 Amazon SageMaker Data Wrangler/014 Data Wrangler Demo 7 - Export Dataflow_en.srt 7.3 KB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/007 Practice Opportunity #1_en.srt 7.2 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/003 Project Overview and Key Learning Outcomes_en.srt 7.2 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/004 Success Stories Price Prediction with AIML_en.srt 7.2 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/018 Practice Opportunity 4_en.srt 7.1 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/006 Coding Task 1 - Understand the Problem Statement and Load Data_en.srt 7.1 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/004 Coding Task 1 - Import Libraries and Datasets_en.srt 7.1 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/011 Practice Opportunity 4_en.srt 7.0 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/004 Coding Task 1 - Import Datasets_en.srt 7.0 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/013 Coding Task #3 - EDA and Data Visualization 2_en.srt 7.0 KB
26 - Day 20 Hyperparameters Optimization in SageMaker/014 Final Capstone Project Solution Part 4_en.srt 7.0 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/017 Evaluate Trained Model Performance_en.srt 7.0 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/015 Practice Opportunity 4_en.srt 7.0 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/010 Coding Task 4 - Pandas and Functions_en.srt 7.0 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/003 Project Overview_en.srt 6.9 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/018 Practice Opportunity #5_en.srt 6.9 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/011 Coding Task 2 - Perform Exploratory Data Analysis (EDA)_en.srt 6.9 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/012 Practice Opportunity #2_en.srt 6.8 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/017 Practice Opportunity 4_en.srt 6.8 KB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/003 Project Overview and Project Card_en.srt 6.8 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/007 Practice Opportunity 1_en.srt 6.8 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/007 Practice Opportunity 2_en.srt 6.7 KB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/005 Coding Task #1 - Problem Overview_en.srt 6.7 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/016 Coding Task 7 - Sorting Pandas DataFrames_en.srt 6.7 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/020 Coding Task 8 - Hyperparameters Optimization Using Bayesian Optimizers_en.srt 6.6 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/015 Final Capstone Project Solution Part 2_en.srt 6.6 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/003 Project Overview_en.srt 6.6 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/009 Coding Task 1 - Import AutoGluon and data Import_en.srt 6.5 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/017 Practice Opportunity 5_en.srt 6.5 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/003 Project Overview_en.srt 6.4 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/019 Coding Task 7 - Hyperparameters Using Random Search_en.srt 6.4 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/006 Coding Task 1 - Import Libraries and Datasets_en.srt 6.4 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/015 Practice Opportunity 6_en.srt 6.3 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/006 Regression Recap_en.srt 6.3 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/012 Practice Opportunity 3_en.srt 6.3 KB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/003 Project Overview_en.srt 6.2 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/007 Practice Opportunity 2_en.srt 6.2 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/015 Practice Opportunity 6_en.srt 6.2 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/015 Coding Task #4 - Prepare the Data For Model Training_en.srt 6.1 KB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/010 Practice Opportunity - GroundTruth Pricing_en.srt 6.1 KB
26 - Day 20 Hyperparameters Optimization in SageMaker/012 Final Capstone Project Solution Part 2_en.srt 6.1 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/012 Practice Opportunity 3_en.srt 6.0 KB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/003 Project Overview_en.srt 5.9 KB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/010 Final End-of-Day Capstone Project Question_en.srt 5.9 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/005 Multiple Linear Regression 101_en.srt 5.9 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/010 Coding Task 3 - Prepare the data for Model Training_en.srt 5.9 KB
23 - Day 18 AWS SageMaker JumpStart/008 JumpStart Demo Part 3 - Deploy an Endpoint_en.srt 5.8 KB
38 - Day 29 Lambda Functions Using AWS Console/003 Introduction to AWS Lambda and Key Learning Outcomes_en.srt 5.8 KB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/008 Json Lines and Manifest Files 101_en.srt 5.7 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/009 Practice Opportunity 2_en.srt 5.7 KB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/004 The Rise of Machine Learning in Higher Education_en.srt 5.7 KB
23 - Day 18 AWS SageMaker JumpStart/010 Final Capstone Project Question_en.srt 5.6 KB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/007 Data Labeling Challenges and Applications_en.srt 5.6 KB
38 - Day 29 Lambda Functions Using AWS Console/009 Demo #2 Part #2 Test a Lambda Function_en.srt 5.6 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/018 Practice Opportunity 6_en.srt 5.6 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/009 Coding Task #2 - Explore the Data_en.srt 5.6 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/007 Practice Opportunity 2_en.srt 5.5 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/008 Practice Opportunity #1_en.srt 5.5 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/017 Practice Opportunity 7_en.srt 5.5 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/018 Final Capstone Projects - Questions_en.srt 5.5 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/008 Practice Opportunity 1_en.srt 5.4 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/019 Capstone Project Questions_en.srt 5.4 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/014 Practice Opportunity #3_en.srt 5.4 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/008 Coding Task 3 - Change Pandas DataFrame datatypes_en.srt 5.4 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/012 Coding Task 5 - Evaluate Trained Model Performance_en.srt 5.4 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/014 Practice Opportunity #4_en.srt 5.4 KB
38 - Day 29 Lambda Functions Using AWS Console/006 AWS Lambda Functions Anatomy_en.srt 5.3 KB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/003 Project Card [Skip If Familiar]_en.srt 5.3 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/019 Final Capstone Project - Questions_en.srt 5.2 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/023 Final End of Day Capstone Project Questions_en.srt 5.2 KB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/006 Practice Opportunity 1_en.srt 5.2 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/003 Project Overview & AutoGluon for Tabular Data_en.srt 5.2 KB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/003 Introduction and Key Learning Outcomes_en.srt 5.2 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/011 Coding Task 4 - Train KNN Model in SKLearn_en.srt 5.1 KB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/009 Practice Opportunity 2_en.srt 5.0 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/011 Practice Opportunity 3_en.srt 5.0 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/021 Final Capstone Project Solution Part 3_en.srt 5.0 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/008 SageMaker Studio Domain Setup_en.srt 4.8 KB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/012 Final Capstone Project Question_en.srt 4.8 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/013 Coding Task 4 - Plot Scatterplots in Matplotlib_en.srt 4.8 KB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/004 Project Overview - EDA with Pandas_en.srt 4.8 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/007 Practice Opportunity 1_en.srt 4.8 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/011 Coding Task 3 - Plot Subplots in Matplotlib_en.srt 4.7 KB
26 - Day 20 Hyperparameters Optimization in SageMaker/013 Final Capstone Project Solution Part 3_en.srt 4.6 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/012 Practice Opportunity #3_en.srt 4.6 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/013 Practice Opportunity 3_en.srt 4.6 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/015 Practice Opportunity 4_en.srt 4.4 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/006 Coding Task 1 - Import Datasets and AutoGloun_en.srt 4.4 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/014 Practice Opportunity 3_en.srt 4.4 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/010 Practice Opportunity #1_en.srt 4.4 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/011 Practice Opportunity 4_en.srt 4.3 KB
23 - Day 18 AWS SageMaker JumpStart/003 Project Introduction and Key Learning Outcomes_en.srt 4.3 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/011 Practice Opportunity 2_en.srt 4.3 KB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/011 Practice Opportunity 3_en.srt 4.3 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/013 Final Capstone Project Question_en.srt 4.3 KB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/006 Practice Opportunity #1_en.srt 4.3 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/016 Practice Opportunity 3_en.srt 4.2 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/007 Practice Opportunity 1_en.srt 4.2 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/012 Practice Opportunity 2_en.srt 4.2 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/013 Practice Opportunity 5_en.srt 4.2 KB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/004 Coding Task #1 - Notebook Walkthrough Project Overview_en.srt 4.1 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/003 Project Overview_en.srt 4.1 KB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/010 Final End-of-Day Capstone Project Question_en.srt 4.1 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/012 Practice Opportunity 3_en.srt 4.1 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/003 Project Overview_en.srt 4.1 KB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/010 Final Capstone Project Question_en.srt 4.0 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/016 Practice Opportunity #4_en.srt 4.0 KB
14 - Day 10 Amazon SageMaker Data Wrangler/003 Project Overview_en.srt 4.0 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/017 Practice Opportunity 7_en.srt 4.0 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/005 Practice Opportunity 1_en.srt 4.0 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/005 Practice Opportunity 1_en.srt 3.9 KB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/009 Practice Opportunity 3_en.srt 3.9 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/016 Practice Opportunity #5_en.srt 3.9 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/009 Coding Task 2 - Plot Multiple Line Plots in Matplotlib_en.srt 3.8 KB
38 - Day 29 Lambda Functions Using AWS Console/011 Final Capstone Project Question_en.srt 3.8 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/013 Practice Opportunity 5_en.srt 3.7 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/010 Coding Task 3 - Split the data_en.srt 3.7 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/010 Practice Opportunity 2_en.srt 3.7 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/012 Coding Task 3 - Prepare the Data for Model Training_en.srt 3.6 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/009 Practice Opportunity 1_en.srt 3.6 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/013 Practice Opportunity 2_en.srt 3.6 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/020 Practice Opportunity 7_en.srt 3.6 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/009 Practice Opportunity 2_en.srt 3.6 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/016 Final Capstone Project Solution Part 3_en.srt 3.5 KB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/013 Final Capstone Project Questions_en.srt 3.4 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/010 Practice Opportunity 1_en.srt 3.4 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/021 Final Capstone Project Question_en.srt 3.3 KB
14 - Day 10 Amazon SageMaker Data Wrangler/016 Final Capstone Project - Questions_en.srt 3.3 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/009 Practice Opportunity 2_en.srt 3.3 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/016 Final Capstone Project Question_en.srt 3.3 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/019 Coding Task 10 - Concluding Remarks_en.srt 3.3 KB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/011 Final Capstone Project - Question_en.srt 3.1 KB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/011 Final Capstone Project Question_en.srt 3.0 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/014 Practice Opportunity 4_en.srt 3.0 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/010 Practice Opportunity 1_en.srt 3.0 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/015 Practice Opportunity 4_en.srt 2.9 KB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/009 Final Capstone Project - Questions_en.srt 2.9 KB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/008 Final Capstone Project Question_en.srt 2.9 KB
14 - Day 10 Amazon SageMaker Data Wrangler/015 Data Wrangler Demo 8 - Shutdown Resources_en.srt 2.8 KB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/009 Final Capstone Project Question_en.srt 2.8 KB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/003 Project Overview and Key Learning Outcomes_en.srt 2.8 KB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/008 Resources Cleanup [Important]_en.srt 2.8 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/015 Final Capstone Project Question_en.srt 2.7 KB
26 - Day 20 Hyperparameters Optimization in SageMaker/010 Final Capstone Project Question_en.srt 2.6 KB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/011 Final Capstone Project - Question_en.srt 2.4 KB
01 - Introduction/001 Welcome To the Course!_en.srt 1.9 KB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/001 Day Welcome Message_en.srt 1.9 KB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/001 Day Welcome Message_en.srt 1.8 KB
09 - PART 3 EXPLORATORY DATA ANALYSIS/001 Welcome to Part 3 on Exploratory Data Analysis (EDA).html 1.8 KB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/001 Day Welcome Message_en.srt 1.8 KB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/001 Day Welcome Message_en.srt 1.7 KB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/001 Day Welcome Message_en.srt 1.7 KB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/001 Day Welcome Message_en.srt 1.7 KB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/001 Day Welcome Message_en.srt 1.7 KB
02 - PART 1 AWS & ML STARTER PACK!/001 Welcome to Part 1 AWS and Machine Learning Starter Pack!.html 1.6 KB
16 - Day 11 Simple Linear Regression in Scikit-Learn/001 Day Welcome Message_en.srt 1.6 KB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/001 Day Welcome Message_en.srt 1.6 KB
14 - Day 10 Amazon SageMaker Data Wrangler/001 Day Welcome Message_en.srt 1.6 KB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/001 Day Welcome Message_en.srt 1.6 KB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/001 Day Welcome Message_en.srt 1.6 KB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/001 Day Welcome Message_en.srt 1.5 KB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/012 Shutting Down SageMaker Canvas [Important]_en.srt 1.5 KB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/001 Day Welcome Message_en.srt 1.4 KB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/013 Shutdown Canvas_en.srt 1.4 KB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/001 Day Welcome Message_en.srt 1.3 KB
21 - Day 16 XG-Boost Regression in Scikit-Learn/001 Day Welcome Message_en.srt 1.3 KB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/001 Day Welcome Message_en.srt 1.3 KB
29 - Day 22 XG-Boost Classification in AWS SageMaker/001 Day Welcome Message_en.srt 1.2 KB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/001 Day Welcome Message_en.srt 1.2 KB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/001 Day Welcome Message_en.srt 1.2 KB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/001 Day Welcome Message_en.srt 1.2 KB
38 - Day 29 Lambda Functions Using AWS Console/001 Day Welcome Message_en.srt 1.2 KB
26 - Day 20 Hyperparameters Optimization in SageMaker/001 Day Welcome Message_en.srt 1.1 KB
15 - PART 4 MACHINE LEARNING REGRESSION/001 Welcome to Part 4 on Machine Learning Regression.html 1.1 KB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/001 Day Welcome Message_en.srt 1.0 KB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/001 Day Welcome Message_en.srt 1007 bytes
23 - Day 18 AWS SageMaker JumpStart/001 Day Welcome Message_en.srt 995 bytes
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/001 Day Welcome Message_en.srt 968 bytes
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/001 Day Welcome Message_en.srt 937 bytes
06 - PART 2 DATA LABELING IN AWS/001 Welcome to Part 2 on Data Labeling in AWS.html 913 bytes
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/001 Day Welcome Message_en.srt 870 bytes
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/014 Day End Message_en.srt 721 bytes
16 - Day 11 Simple Linear Regression in Scikit-Learn/021 Day End Message_en.srt 684 bytes
37 - PART 8 MACHINE LEARNING WORKFLOWS/001 Welcome to Part 8 on Machine Learning Workflows.html 684 bytes
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/014 Day End Message_en.srt 675 bytes
27 - PART 6 MACHINE LEARNING CLASSIFICATION & ChatGPT FOR PROGRAMMERS/001 Welcome to Part 6 on Machine Learning Classification.html 669 bytes
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/010 Day End Message_en.srt 572 bytes
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/009 Day End Message_en.srt 562 bytes
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/013 Day End Message_en.srt 536 bytes
23 - Day 18 AWS SageMaker JumpStart/002 Please Download Today's Materials.html 516 bytes
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/002 Please Download Today's Materials.html 489 bytes
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/020 Day End Message_en.srt 464 bytes
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/018 Day End Message_en.srt 444 bytes
18 - Day 13 Multiple Linear Regression in Scikit-Learn/021 Day End Message_en.srt 439 bytes
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/011 Day End Message_en.srt 428 bytes
14 - Day 10 Amazon SageMaker Data Wrangler/018 Day End Message_en.srt 411 bytes
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/012 Day End Message_en.srt 409 bytes
17 - Day 12 Regression Using AWS SageMaker Linear Learner/015 Day End Message_en.srt 402 bytes
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/014 Day End Message_en.srt 401 bytes
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/012 Day End Message_en.srt 394 bytes
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/020 Day End Message_en.srt 381 bytes
32 - PART 7 AUTOML & NO-CODE ML/001 Welcome to Part 7 on AutoML and No-Code ML Development.html 377 bytes
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/022 Day End Message_en.srt 377 bytes
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/014 Day End Message_en.srt 377 bytes
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/002 Please Download Today's Materials.html 376 bytes
16 - Day 11 Simple Linear Regression in Scikit-Learn/002 Please Download Today's Materials.html 375 bytes
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/017 Day End Message_en.srt 375 bytes
23 - Day 18 AWS SageMaker JumpStart/013 Day End Message_en.srt 368 bytes
18 - Day 13 Multiple Linear Regression in Scikit-Learn/002 Please Download Today's Materials.html 365 bytes
21 - Day 16 XG-Boost Regression in Scikit-Learn/018 Day End Message_en.srt 353 bytes
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/013 Day End Message_en.srt 350 bytes
17 - Day 12 Regression Using AWS SageMaker Linear Learner/002 Please Download Today's Materials.html 345 bytes
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/002 Please Download Today's Materials.html 343 bytes
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/017 Day End Message_en.srt 341 bytes
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/002 Please Download Today's Materials.html 335 bytes
24 - PART 5 HYPERPARAMETERS OPTIMIZATION/001 Welcome to Part 5 on Hyperparameters Optimization.html 321 bytes
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/002 Please Download Today's Materials.html 299 bytes
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/002 Please Download Today's Materials.html 296 bytes
29 - Day 22 XG-Boost Classification in AWS SageMaker/019 Day End Message_en.srt 292 bytes
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/002 Please Download Today's Materials.html 292 bytes
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/002 Please Download Today's Materials.html 288 bytes
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/011 Day End Message_en.srt 284 bytes
26 - Day 20 Hyperparameters Optimization in SageMaker/015 Day End Message_en.srt 279 bytes
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/002 Please Download Today's Materials.html 271 bytes
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/023 Day End Message_en.srt 271 bytes
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/025 Day End Message_en.srt 268 bytes
21 - Day 16 XG-Boost Regression in Scikit-Learn/002 Please Download Today's Materials.html 264 bytes
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/002 Please Download Today's Materials.html 257 bytes
29 - Day 22 XG-Boost Classification in AWS SageMaker/002 Please download today's Materials.html 257 bytes
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/002 Please Download Today's Materials.html 248 bytes
26 - Day 20 Hyperparameters Optimization in SageMaker/002 Please Download Today's Materials.html 248 bytes
38 - Day 29 Lambda Functions Using AWS Console/013 Day End Message_en.srt 244 bytes
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/002 Please Download Today's Materials.html 240 bytes
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/002 Please Download Today's Materials.html 239 bytes
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/002 Please Download Today's Materials.html 238 bytes
14 - Day 10 Amazon SageMaker Data Wrangler/002 Please Download Today's Materials.html 235 bytes
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/002 Please Download Today's Materials.html 225 bytes
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/002 Please Download Today's Materials.html 210 bytes
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/002 Please download today's materials.html 192 bytes
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/002 Please Download Today's Materials.html 182 bytes
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/002 Please Download Today's Materials.html 128 bytes
0. Websites you may like/[FreeCourseSite.com].url 127 bytes
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/0. Websites you may like/[FreeCourseSite.com].url 127 bytes
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/0. Websites you may like/[FreeCourseSite.com].url 127 bytes
26 - Day 20 Hyperparameters Optimization in SageMaker/0. Websites you may like/[FreeCourseSite.com].url 127 bytes
38 - Day 29 Lambda Functions Using AWS Console/0. Websites you may like/[FreeCourseSite.com].url 127 bytes
0. Websites you may like/[CourseClub.Me].url 122 bytes
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/0. Websites you may like/[CourseClub.Me].url 122 bytes
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/0. Websites you may like/[CourseClub.Me].url 122 bytes
26 - Day 20 Hyperparameters Optimization in SageMaker/0. Websites you may like/[CourseClub.Me].url 122 bytes
38 - Day 29 Lambda Functions Using AWS Console/0. Websites you may like/[CourseClub.Me].url 122 bytes
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/002 Please Download Today's Materials.html 87 bytes
38 - Day 29 Lambda Functions Using AWS Console/002 Please Download Today's Materials.html 67 bytes
0. Websites you may like/[GigaCourse.Com].url 49 bytes
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/0. Websites you may like/[GigaCourse.Com].url 49 bytes
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/0. Websites you may like/[GigaCourse.Com].url 49 bytes
26 - Day 20 Hyperparameters Optimization in SageMaker/0. Websites you may like/[GigaCourse.Com].url 49 bytes
38 - Day 29 Lambda Functions Using AWS Console/0. Websites you may like/[GigaCourse.Com].url 49 bytes

[FreeCourseSite.com] Udemy - 2023 Become AWS SageMaker ML Engineer in 30 Days + ChatGPT

File List

Download Torrent

Related Resources

Copyright Infringement