[GigaCourse.Com] Udemy - Machine Learning, Data Science and Generative AI with Python

Creation Time	May 17, 2024, 10:03 a.m.
Last Access Time	Nov. 25, 2024, 1:28 p.m.
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Keywords	and AI Data - Udemy Machine Python GigaCourse Learning Science Generative Com with
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Total Files	297
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13 - The OpenAI API (Developing with GPT and ChatGPT)/007 The New OpenAI Fine-Tuning API; Fine-Tuning GPT-3.5 to simulate Commander Data!.mp4 319.0 MB
14 - Retrieval Augmented Generation (RAG)/002 Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.mp4 184.5 MB
13 - The OpenAI API (Developing with GPT and ChatGPT)/006 [Demo] Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4 170.8 MB
11 - Generative Models/002 Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4 148.8 MB
08 - Apache Spark Machine Learning on Big Data/003 [Activity] Installing Spark.mp4 141.4 MB
08 - Apache Spark Machine Learning on Big Data/007 Introduction to Decision Trees in Spark.mp4 134.0 MB
11 - Generative Models/005 Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4 126.1 MB
06 - More Data Mining and Machine Learning Techniques/006 Reinforcement Learning.mp4 125.2 MB
05 - Recommender Systems/005 [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 124.1 MB
10 - Deep Learning and Neural Networks/017 The Ethics of Deep Learning.mp4 120.5 MB
08 - Apache Spark Machine Learning on Big Data/008 [Activity] K-Means Clustering in Spark.mp4 116.1 MB
10 - Deep Learning and Neural Networks/014 [Activity] Transfer Learning.mp4 111.0 MB
10 - Deep Learning and Neural Networks/006 [Activity] Using Tensorflow, Part 1.mp4 107.7 MB
02 - Statistics and Probability Refresher, and Python Practice/004 [Activity] Variation and Standard Deviation.mp4 103.4 MB
01 - Getting Started/005 [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4 102.0 MB
01 - Getting Started/006 [Activity] MAC Installing and Using Anaconda & Course Materials.mp4 96.2 MB
02 - Statistics and Probability Refresher, and Python Practice/009 [Activity] Advanced Visualization with Seaborn.mp4 96.1 MB
10 - Deep Learning and Neural Networks/007 [Activity] Using Tensorflow, Part 2.mp4 95.1 MB
03 - Predictive Models/003 [Activity] Multiple Regression, and Predicting Car Prices.mp4 94.1 MB
02 - Statistics and Probability Refresher, and Python Practice/011 [Exercise] Conditional Probability.mp4 94.0 MB
03 - Predictive Models/001 [Activity] Linear Regression.mp4 93.0 MB
14 - Retrieval Augmented Generation (RAG)/001 Retrieval Augmented Generation (RAG) How it works, with some examples.mp4 92.9 MB
09 - Experimental Design ML in the Real World/006 AB Test Gotchas.mp4 91.7 MB
10 - Deep Learning and Neural Networks/009 [Activity] Using Keras to Predict Political Affiliations.mp4 88.9 MB
11 - Generative Models/004 Generative Adversarial Networks (GAN's) - Playing with some demos.mp4 86.1 MB
06 - More Data Mining and Machine Learning Techniques/002 [Activity] Using KNN to predict a rating for a movie.mp4 85.5 MB
01 - Getting Started/007 [Activity] LINUX Installing and Using Anaconda & Course Materials.mp4 85.5 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/011 [Activity] Fine Tuning GPT with the IMDb dataset.mp4 85.2 MB
08 - Apache Spark Machine Learning on Big Data/010 [Activity] Searching Wikipedia with Spark.mp4 84.0 MB
05 - Recommender Systems/003 [Activity] Finding Movie Similarities using Cosine Similarity.mp4 82.7 MB
05 - Recommender Systems/001 User-Based Collaborative Filtering.mp4 81.7 MB
04 - Machine Learning with Python/011 Decision Trees Concepts.mp4 81.5 MB
04 - Machine Learning with Python/004 [Activity] Implementing a Spam Classifier with Naive Bayes.mp4 81.4 MB
04 - Machine Learning with Python/014 [Activity] XGBoost.mp4 79.3 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/007 [Activity] Tokenization with Google CoLab and HuggingFace.mp4 79.0 MB
02 - Statistics and Probability Refresher, and Python Practice/008 [Activity] A Crash Course in matplotlib.mp4 78.7 MB
10 - Deep Learning and Neural Networks/013 [Activity] Using a RNN for sentiment analysis.mp4 73.6 MB
02 - Statistics and Probability Refresher, and Python Practice/001 Types of Data (Numerical, Categorical, Ordinal).mp4 73.1 MB
07 - Dealing with Real-World Data/003 Data Cleaning and Normalization.mp4 73.1 MB
10 - Deep Learning and Neural Networks/008 [Activity] Introducing Keras.mp4 72.0 MB
13 - The OpenAI API (Developing with GPT and ChatGPT)/001 [Activity] The OpenAI Chat Completions API.mp4 70.4 MB
10 - Deep Learning and Neural Networks/001 Deep Learning Pre-Requisites.mp4 70.4 MB
02 - Statistics and Probability Refresher, and Python Practice/010 [Activity] Covariance and Correlation.mp4 69.5 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/010 [Activity] Using small and large GPT models within Google CoLab and HuggingFace.mp4 69.3 MB
10 - Deep Learning and Neural Networks/002 The History of Artificial Neural Networks.mp4 68.9 MB
06 - More Data Mining and Machine Learning Techniques/004 [Activity] PCA Example with the Iris data set.mp4 65.8 MB
08 - Apache Spark Machine Learning on Big Data/009 TF IDF.mp4 65.7 MB
08 - Apache Spark Machine Learning on Big Data/011 [Activity] Using the Spark DataFrame API for MLLib.mp4 65.1 MB
15 - Final Project/002 Final project review.mp4 64.5 MB
06 - More Data Mining and Machine Learning Techniques/007 [Activity] Reinforcement Learning & Q-Learning with Gym.mp4 62.8 MB
13 - The OpenAI API (Developing with GPT and ChatGPT)/002 [Activity] Using Tools and Functions in the OpenAI Chat Completion API.mp4 61.2 MB
03 - Predictive Models/002 [Activity] Polynomial Regression.mp4 60.5 MB
01 - Getting Started/001 Introduction.mp4 59.6 MB
10 - Deep Learning and Neural Networks/010 Convolutional Neural Networks (CNN's).mp4 58.7 MB
06 - More Data Mining and Machine Learning Techniques/005 Data Warehousing Overview ETL and ELT.mp4 58.7 MB
04 - Machine Learning with Python/012 [Activity] Decision Trees Predicting Hiring Decisions.mp4 57.8 MB
07 - Dealing with Real-World Data/002 [Activity] K-Fold Cross-Validation to avoid overfitting.mp4 56.9 MB
04 - Machine Learning with Python/001 Supervised vs. Unsupervised Learning, and TrainTest.mp4 56.7 MB
02 - Statistics and Probability Refresher, and Python Practice/013 Bayes' Theorem.mp4 56.1 MB
05 - Recommender Systems/004 [Activity] Improving the Results of Movie Similarities.mp4 56.1 MB
10 - Deep Learning and Neural Networks/003 [Activity] Deep Learning in the Tensorflow Playground.mp4 55.7 MB
10 - Deep Learning and Neural Networks/011 [Activity] Using CNN's for handwriting recognition.mp4 52.8 MB
15 - Final Project/001 Your final project assignment Mammogram Classification.mp4 51.6 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/012 From GPT to ChatGPT Deep Reinforcement Learning, Proximal Policy Gradients.mp4 51.1 MB
09 - Experimental Design ML in the Real World/004 [Activity] Hands-on With T-Tests.mp4 47.8 MB
10 - Deep Learning and Neural Networks/005 Introducing Tensorflow.mp4 46.6 MB
02 - Statistics and Probability Refresher, and Python Practice/003 [Activity] Using mean, median, and mode in Python.mp4 44.5 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/001 The Transformer Architecture (encoders, decoders, and self-attention.).mp4 44.2 MB
01 - Getting Started/012 Introducing the Pandas Library [Optional].mp4 44.2 MB
11 - Generative Models/001 Variational Auto-Encoders (VAE's) - how they work.mp4 42.9 MB
07 - Dealing with Real-World Data/010 Binning, Transforming, Encoding, Scaling, and Shuffling.mp4 42.7 MB
02 - Statistics and Probability Refresher, and Python Practice/007 [Activity] Percentiles and Moments.mp4 42.6 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/002 Self-Attention, Masked Self-Attention, and Multi-Headed Self Attention in depth.mp4 41.5 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/009 [Activity] Masked, Multi-Headed Self Attention with BERT, BERTViz, and exBERT.mp4 39.8 MB
04 - Machine Learning with Python/016 [Activity] Using SVM to cluster people using scikit-learn.mp4 38.5 MB
06 - More Data Mining and Machine Learning Techniques/003 Dimensionality Reduction; Principal Component Analysis (PCA).mp4 38.1 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/013 From GPT to ChatGPT Reinforcement Learning from Human Feedback and Moderation.mp4 37.8 MB
04 - Machine Learning with Python/013 Ensemble Learning.mp4 37.0 MB
16 - You made it!/001 More to Explore.mp4 34.0 MB
13 - The OpenAI API (Developing with GPT and ChatGPT)/004 [Activity] The Embeddings API in OpenAI Finding similarities between words.mp4 32.9 MB
10 - Deep Learning and Neural Networks/012 Recurrent Neural Networks (RNN's).mp4 32.8 MB
09 - Experimental Design ML in the Real World/002 AB Testing Concepts.mp4 32.0 MB
07 - Dealing with Real-World Data/004 [Activity] Cleaning web log data.mp4 31.0 MB
10 - Deep Learning and Neural Networks/004 Deep Learning Details.mp4 30.9 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/004 How GPT Works, Part 1 The GPT Transformer Architecture.mp4 30.3 MB
13 - The OpenAI API (Developing with GPT and ChatGPT)/003 [Activity] The Images (DALL-E) API in OpenAI.mp4 29.6 MB
13 - The OpenAI API (Developing with GPT and ChatGPT)/005 The Legacy Fine-Tuning API for GPT Models in OpenAI.mp4 29.4 MB
13 - The OpenAI API (Developing with GPT and ChatGPT)/009 [Activity] The OpenAI Audio API (speech to text).mp4 28.7 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/005 How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding.mp4 28.5 MB
02 - Statistics and Probability Refresher, and Python Practice/006 Common Data Distributions (Normal, Binomial, Poisson, etc).mp4 28.3 MB
05 - Recommender Systems/006 [Exercise] Improve the recommender's results.mp4 28.0 MB
03 - Predictive Models/004 Multi-Level Models.mp4 27.2 MB
07 - Dealing with Real-World Data/006 [Activity] Detecting outliers.mp4 27.2 MB
01 - Getting Started/008 Python Basics, Part 1 [Optional].mp4 26.9 MB
04 - Machine Learning with Python/005 K-Means Clustering.mp4 26.0 MB
08 - Apache Spark Machine Learning on Big Data/004 Spark Introduction.mp4 25.0 MB
07 - Dealing with Real-World Data/001 BiasVariance Tradeoff.mp4 23.6 MB
05 - Recommender Systems/002 Item-Based Collaborative Filtering.mp4 23.2 MB
08 - Apache Spark Machine Learning on Big Data/005 Spark and the Resilient Distributed Dataset (RDD).mp4 22.3 MB
04 - Machine Learning with Python/006 [Activity] Clustering people based on income and age.mp4 22.0 MB
04 - Machine Learning with Python/002 [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4 21.6 MB
01 - Getting Started/009 [Activity] Python Basics, Part 2 [Optional].mp4 20.6 MB
11 - Generative Models/006 Learning More about Deep Learning.mp4 20.2 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/003 Applications of Transformers (GPT).mp4 20.2 MB
10 - Deep Learning and Neural Networks/016 Deep Learning Regularization with Dropout and Early Stopping.mp4 19.8 MB
07 - Dealing with Real-World Data/008 Imputation Techniques for Missing Data.mp4 18.2 MB
07 - Dealing with Real-World Data/009 Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.mp4 17.4 MB
01 - Getting Started/002 Udemy 101 Getting the Most From This Course.mp4 17.4 MB
09 - Experimental Design ML in the Real World/001 Deploying Models to Real-Time Systems.mp4 17.2 MB
13 - The OpenAI API (Developing with GPT and ChatGPT)/008 [Activity] The OpenAI Moderation API.mp4 17.1 MB
04 - Machine Learning with Python/015 Support Vector Machines (SVM) Overview.mp4 16.3 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/008 [Activity] Positional Encoding.mp4 16.0 MB
02 - Statistics and Probability Refresher, and Python Practice/002 Mean, Median, Mode.mp4 16.0 MB
11 - Generative Models/003 Generative Adversarial Networks (GAN's) - How they work.mp4 15.2 MB
02 - Statistics and Probability Refresher, and Python Practice/012 Exercise Solution Conditional Probability of Purchase by Age.mp4 15.0 MB
08 - Apache Spark Machine Learning on Big Data/006 Introducing MLLib.mp4 14.7 MB
07 - Dealing with Real-World Data/007 Feature Engineering and the Curse of Dimensionality.mp4 14.6 MB
09 - Experimental Design ML in the Real World/003 T-Tests and P-Values.mp4 14.1 MB
06 - More Data Mining and Machine Learning Techniques/001 K-Nearest-Neighbors Concepts.mp4 14.0 MB
04 - Machine Learning with Python/007 Measuring Entropy.mp4 12.1 MB
06 - More Data Mining and Machine Learning Techniques/009 Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4 11.7 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/006 Fine Tuning Transfer Learning with Transformers.mp4 11.5 MB
07 - Dealing with Real-World Data/005 Normalizing numerical data.mp4 10.3 MB
04 - Machine Learning with Python/003 Bayesian Methods Concepts.mp4 9.8 MB
09 - Experimental Design ML in the Real World/005 Determining How Long to Run an Experiment.mp4 9.7 MB
04 - Machine Learning with Python/009 [Activity] MAC Installing Graphviz.mp4 9.1 MB
10 - Deep Learning and Neural Networks/015 Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4 8.5 MB
01 - Getting Started/011 [Activity] Python Basics, Part 4 [Optional].mp4 8.2 MB
06 - More Data Mining and Machine Learning Techniques/008 Understanding a Confusion Matrix.mp4 7.4 MB
02 - Statistics and Probability Refresher, and Python Practice/005 Probability Density Function; Probability Mass Function.mp4 6.9 MB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/007 Transformers-MLCourse.ipynb 6.7 MB
01 - Getting Started/010 [Activity] Python Basics, Part 3 [Optional].mp4 5.1 MB
11 - Generative Models/005 GAN-on-Fashion-MNIST.ipynb 3.7 MB
04 - Machine Learning with Python/010 [Activity] LINUX Installing Graphviz.mp4 2.5 MB
11 - Generative Models/002 VariationalAutoEncoders.ipynb 1.3 MB
04 - Machine Learning with Python/008 [Activity] WINDOWS Installing Graphviz.mp4 949.3 KB
14 - Retrieval Augmented Generation (RAG)/002 Data-RAG.ipynb 100.4 KB
11 - Generative Models/002 Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST_en.srt 54.6 KB
13 - The OpenAI API (Developing with GPT and ChatGPT)/007 The New OpenAI Fine-Tuning API; Fine-Tuning GPT-3.5 to simulate Commander Data!_en.srt 45.9 KB
14 - Retrieval Augmented Generation (RAG)/002 Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek_en.srt 40.7 KB
14 - Retrieval Augmented Generation (RAG)/001 Retrieval Augmented Generation (RAG) How it works, with some examples_en.srt 37.2 KB
02 - Statistics and Probability Refresher, and Python Practice/009 [Activity] Advanced Visualization with Seaborn_en.srt 35.7 KB
13 - The OpenAI API (Developing with GPT and ChatGPT)/006 [Demo] Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek_en.srt 35.3 KB
03 - Predictive Models/003 [Activity] Multiple Regression, and Predicting Car Prices_en.srt 34.2 KB
02 - Statistics and Probability Refresher, and Python Practice/011 [Exercise] Conditional Probability_en.srt 34.1 KB
04 - Machine Learning with Python/014 [Activity] XGBoost_en.srt 33.7 KB
08 - Apache Spark Machine Learning on Big Data/007 Introduction to Decision Trees in Spark_en.srt 33.1 KB
11 - Generative Models/005 Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST_en.srt 32.6 KB
10 - Deep Learning and Neural Networks/008 [Activity] Introducing Keras_en.srt 28.6 KB
10 - Deep Learning and Neural Networks/006 [Activity] Using Tensorflow, Part 1_en.srt 27.7 KB
02 - Statistics and Probability Refresher, and Python Practice/007 [Activity] Percentiles and Moments_en.srt 26.8 KB
06 - More Data Mining and Machine Learning Techniques/007 [Activity] Reinforcement Learning & Q-Learning with Gym_en.srt 26.6 KB
10 - Deep Learning and Neural Networks/005 Introducing Tensorflow_en.srt 26.6 KB
02 - Statistics and Probability Refresher, and Python Practice/008 [Activity] A Crash Course in matplotlib_en.srt 26.1 KB
10 - Deep Learning and Neural Networks/001 Deep Learning Pre-Requisites_en.srt 26.0 KB
10 - Deep Learning and Neural Networks/009 [Activity] Using Keras to Predict Political Affiliations_en.srt 25.4 KB
06 - More Data Mining and Machine Learning Techniques/006 Reinforcement Learning_en.srt 25.3 KB
10 - Deep Learning and Neural Networks/014 [Activity] Transfer Learning_en.srt 25.3 KB
10 - Deep Learning and Neural Networks/017 The Ethics of Deep Learning_en.srt 24.9 KB
10 - Deep Learning and Neural Networks/007 [Activity] Using Tensorflow, Part 2_en.srt 24.9 KB
13 - The OpenAI API (Developing with GPT and ChatGPT)/001 [Activity] The OpenAI Chat Completions API_en.srt 24.9 KB
10 - Deep Learning and Neural Networks/010 Convolutional Neural Networks (CNN's)_en.srt 24.9 KB
08 - Apache Spark Machine Learning on Big Data/005 Spark and the Resilient Distributed Dataset (RDD)_en.srt 24.2 KB
10 - Deep Learning and Neural Networks/002 The History of Artificial Neural Networks_en.srt 24.2 KB
06 - More Data Mining and Machine Learning Techniques/002 [Activity] Using KNN to predict a rating for a movie_en.srt 24.1 KB
10 - Deep Learning and Neural Networks/003 [Activity] Deep Learning in the Tensorflow Playground_en.srt 24.0 KB
03 - Predictive Models/001 [Activity] Linear Regression_en.srt 23.8 KB
02 - Statistics and Probability Refresher, and Python Practice/010 [Activity] Covariance and Correlation_en.srt 23.7 KB
02 - Statistics and Probability Refresher, and Python Practice/004 [Activity] Variation and Standard Deviation_en.srt 23.0 KB
10 - Deep Learning and Neural Networks/012 Recurrent Neural Networks (RNN's)_en.srt 23.0 KB
15 - Final Project/002 Final project review_en.srt 22.3 KB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/001 The Transformer Architecture (encoders, decoders, and self-attention.)_en.srt 22.3 KB
01 - Getting Started/012 Introducing the Pandas Library [Optional]_en.srt 21.9 KB
07 - Dealing with Real-World Data/004 [Activity] Cleaning web log data_en.srt 21.8 KB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/002 Self-Attention, Masked Self-Attention, and Multi-Headed Self Attention in depth_en.srt 21.7 KB
11 - Generative Models/004 Generative Adversarial Networks (GAN's) - Playing with some demos_en.srt 21.7 KB
11 - Generative Models/001 Variational Auto-Encoders (VAE's) - how they work_en.srt 21.6 KB
08 - Apache Spark Machine Learning on Big Data/003 [Activity] Installing Spark_en.srt 21.3 KB
08 - Apache Spark Machine Learning on Big Data/008 [Activity] K-Means Clustering in Spark_en.srt 21.1 KB
09 - Experimental Design ML in the Real World/006 AB Test Gotchas_en.srt 20.9 KB
10 - Deep Learning and Neural Networks/004 Deep Learning Details_en.srt 20.9 KB
10 - Deep Learning and Neural Networks/013 [Activity] Using a RNN for sentiment analysis_en.srt 20.7 KB
01 - Getting Started/005 [Activity] WINDOWS Installing and Using Anaconda & Course Materials_en.srt 20.7 KB
07 - Dealing with Real-World Data/002 [Activity] K-Fold Cross-Validation to avoid overfitting_en.srt 20.6 KB
05 - Recommender Systems/005 [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering_en.srt 20.3 KB
04 - Machine Learning with Python/012 [Activity] Decision Trees Predicting Hiring Decisions_en.srt 20.1 KB
04 - Machine Learning with Python/016 [Activity] Using SVM to cluster people using scikit-learn_en.srt 20.0 KB
04 - Machine Learning with Python/001 Supervised vs. Unsupervised Learning, and TrainTest_en.srt 19.4 KB
02 - Statistics and Probability Refresher, and Python Practice/003 [Activity] Using mean, median, and mode in Python_en.srt 19.3 KB
08 - Apache Spark Machine Learning on Big Data/004 Spark Introduction_en.srt 19.2 KB
13 - The OpenAI API (Developing with GPT and ChatGPT)/002 [Activity] Using Tools and Functions in the OpenAI Chat Completion API_en.srt 19.1 KB
09 - Experimental Design ML in the Real World/001 Deploying Models to Real-Time Systems_en.srt 18.8 KB
09 - Experimental Design ML in the Real World/002 AB Testing Concepts_en.srt 18.7 KB
04 - Machine Learning with Python/011 Decision Trees Concepts_en.srt 18.7 KB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/007 [Activity] Tokenization with Google CoLab and HuggingFace_en.srt 18.6 KB
06 - More Data Mining and Machine Learning Techniques/005 Data Warehousing Overview ETL and ELT_en.srt 18.1 KB
01 - Getting Started/007 [Activity] LINUX Installing and Using Anaconda & Course Materials_en.srt 18.0 KB
06 - More Data Mining and Machine Learning Techniques/004 [Activity] PCA Example with the Iris data set_en.srt 17.9 KB
05 - Recommender Systems/003 [Activity] Finding Movie Similarities using Cosine Similarity_en.srt 17.9 KB
05 - Recommender Systems/002 Item-Based Collaborative Filtering_en.srt 17.8 KB
05 - Recommender Systems/001 User-Based Collaborative Filtering_en.srt 17.3 KB
07 - Dealing with Real-World Data/008 Imputation Techniques for Missing Data_en.srt 17.3 KB
07 - Dealing with Real-World Data/010 Binning, Transforming, Encoding, Scaling, and Shuffling_en.srt 16.9 KB
01 - Getting Started/006 [Activity] MAC Installing and Using Anaconda & Course Materials_en.srt 16.9 KB
10 - Deep Learning and Neural Networks/011 [Activity] Using CNN's for handwriting recognition_en.srt 16.8 KB
04 - Machine Learning with Python/004 [Activity] Implementing a Spam Classifier with Naive Bayes_en.srt 16.6 KB
05 - Recommender Systems/004 [Activity] Improving the Results of Movie Similarities_en.srt 16.2 KB
07 - Dealing with Real-World Data/003 Data Cleaning and Normalization_en.srt 16.2 KB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/004 How GPT Works, Part 1 The GPT Transformer Architecture_en.srt 16.0 KB
11 - Generative Models/003 Generative Adversarial Networks (GAN's) - How they work_en.srt 15.9 KB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/012 From GPT to ChatGPT Deep Reinforcement Learning, Proximal Policy Gradients_en.srt 15.9 KB
03 - Predictive Models/002 [Activity] Polynomial Regression_en.srt 15.7 KB
04 - Machine Learning with Python/005 K-Means Clustering_en.srt 15.6 KB
08 - Apache Spark Machine Learning on Big Data/010 [Activity] Searching Wikipedia with Spark_en.srt 15.6 KB
08 - Apache Spark Machine Learning on Big Data/011 [Activity] Using the Spark DataFrame API for MLLib_en.srt 15.1 KB
02 - Statistics and Probability Refresher, and Python Practice/006 Common Data Distributions (Normal, Binomial, Poisson, etc)_en.srt 14.5 KB
02 - Statistics and Probability Refresher, and Python Practice/001 Types of Data (Numerical, Categorical, Ordinal)_en.srt 14.4 KB
15 - Final Project/001 Your final project assignment Mammogram Classification_en.srt 14.3 KB
07 - Dealing with Real-World Data/007 Feature Engineering and the Curse of Dimensionality_en.srt 13.9 KB
10 - Deep Learning and Neural Networks/016 Deep Learning Regularization with Dropout and Early Stopping_en.srt 13.9 KB
13 - The OpenAI API (Developing with GPT and ChatGPT)/007 MakingData.ipynb 13.6 KB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/011 [Activity] Fine Tuning GPT with the IMDb dataset_en.srt 13.4 KB
08 - Apache Spark Machine Learning on Big Data/009 TF IDF_en.srt 13.4 KB
07 - Dealing with Real-World Data/006 [Activity] Detecting outliers_en.srt 13.3 KB
13 - The OpenAI API (Developing with GPT and ChatGPT)/004 [Activity] The Embeddings API in OpenAI Finding similarities between words_en.srt 13.3 KB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/013 From GPT to ChatGPT Reinforcement Learning from Human Feedback and Moderation_en.srt 12.8 KB
07 - Dealing with Real-World Data/001 BiasVariance Tradeoff_en.srt 12.8 KB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/009 [Activity] Masked, Multi-Headed Self Attention with BERT, BERTViz, and exBERT_en.srt 12.8 KB
04 - Machine Learning with Python/013 Ensemble Learning_en.srt 12.7 KB
06 - More Data Mining and Machine Learning Techniques/009 Measuring Classifiers (Precision, Recall, F1, ROC, AUC)_en.srt 12.7 KB
09 - Experimental Design ML in the Real World/004 [Activity] Hands-on With T-Tests_en.srt 12.3 KB
09 - Experimental Design ML in the Real World/003 T-Tests and P-Values_en.srt 12.3 KB
05 - Recommender Systems/006 [Exercise] Improve the recommender's results_en.srt 12.1 KB
04 - Machine Learning with Python/002 [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression_en.srt 11.9 KB
07 - Dealing with Real-World Data/009 Handling Unbalanced Data Oversampling, Undersampling, and SMOTE_en.srt 11.8 KB
06 - More Data Mining and Machine Learning Techniques/003 Dimensionality Reduction; Principal Component Analysis (PCA)_en.srt 11.7 KB
06 - More Data Mining and Machine Learning Techniques/008 Understanding a Confusion Matrix_en.srt 11.6 KB
02 - Statistics and Probability Refresher, and Python Practice/002 Mean, Median, Mode_en.srt 11.6 KB
13 - The OpenAI API (Developing with GPT and ChatGPT)/005 The Legacy Fine-Tuning API for GPT Models in OpenAI_en.srt 11.5 KB
04 - Machine Learning with Python/006 [Activity] Clustering people based on income and age_en.srt 11.1 KB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/005 How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding_en.srt 10.8 KB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/010 [Activity] Using small and large GPT models within Google CoLab and HuggingFace_en.srt 10.8 KB
08 - Apache Spark Machine Learning on Big Data/006 Introducing MLLib_en.srt 10.4 KB
02 - Statistics and Probability Refresher, and Python Practice/013 Bayes' Theorem_en.srt 10.4 KB
10 - Deep Learning and Neural Networks/015 Tuning Neural Networks Learning Rate and Batch Size Hyperparameters_en.srt 10.3 KB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/003 Applications of Transformers (GPT)_en.srt 10.1 KB
03 - Predictive Models/004 Multi-Level Models_en.srt 9.8 KB
01 - Getting Started/008 Python Basics, Part 1 [Optional]_en.srt 9.5 KB
04 - Machine Learning with Python/015 Support Vector Machines (SVM) Overview_en.srt 9.5 KB
01 - Getting Started/009 [Activity] Python Basics, Part 2 [Optional]_en.srt 9.3 KB
16 - You made it!/003 Bonus Lecture.html 9.2 KB
13 - The OpenAI API (Developing with GPT and ChatGPT)/003 [Activity] The Images (DALL-E) API in OpenAI_en.srt 8.8 KB
13 - The OpenAI API (Developing with GPT and ChatGPT)/009 [Activity] The OpenAI Audio API (speech to text)_en.srt 8.2 KB
04 - Machine Learning with Python/003 Bayesian Methods Concepts_en.srt 8.1 KB
06 - More Data Mining and Machine Learning Techniques/001 K-Nearest-Neighbors Concepts_en.srt 7.9 KB
09 - Experimental Design ML in the Real World/005 Determining How Long to Run an Experiment_en.srt 7.7 KB
07 - Dealing with Real-World Data/005 Normalizing numerical data_en.srt 7.2 KB
01 - Getting Started/011 [Activity] Python Basics, Part 4 [Optional]_en.srt 7.1 KB
02 - Statistics and Probability Refresher, and Python Practice/005 Probability Density Function; Probability Mass Function_en.srt 7.1 KB
16 - You made it!/001 More to Explore_en.srt 6.8 KB
04 - Machine Learning with Python/007 Measuring Entropy_en.srt 6.4 KB
01 - Getting Started/001 Introduction_en.srt 6.1 KB
12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/006 Fine Tuning Transfer Learning with Transformers_en.srt 5.5 KB
01 - Getting Started/010 [Activity] Python Basics, Part 3 [Optional]_en.srt 5.2 KB
01 - Getting Started/002 Udemy 101 Getting the Most From This Course_en.srt 4.9 KB
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12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/008 [Activity] Positional Encoding_en.srt 4.3 KB
11 - Generative Models/006 Learning More about Deep Learning_en.srt 3.8 KB
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08 - Apache Spark Machine Learning on Big Data/002 Spark installation notes for MacOS and Linux users.html 3.1 KB
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04 - Machine Learning with Python/010 [Activity] LINUX Installing Graphviz_en.srt 1.4 KB
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13 - The OpenAI API (Developing with GPT and ChatGPT)/004 Embedding.py 964 bytes
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01 - Getting Started/003 Important note.html 575 bytes
16 - You made it!/002 Don't Forget to Leave a Rating!.html 564 bytes
13 - The OpenAI API (Developing with GPT and ChatGPT)/009 Audio.py 445 bytes
08 - Apache Spark Machine Learning on Big Data/001 Warning about Java 21+ and Spark 3!.html 389 bytes
06 - More Data Mining and Machine Learning Techniques/external-links.txt 325 bytes
13 - The OpenAI API (Developing with GPT and ChatGPT)/008 Moderation.py 166 bytes
0. Websites you may like/[CourseClub.Me].url 122 bytes
03 - Predictive Models/[CourseClub.Me].url 122 bytes
09 - Experimental Design ML in the Real World/[CourseClub.Me].url 122 bytes
15 - Final Project/[CourseClub.Me].url 122 bytes
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06 - More Data Mining and Machine Learning Techniques/006 Pac-Man-Example.url 108 bytes
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06 - More Data Mining and Machine Learning Techniques/006 Python-Markov-Decision-Process-Toolbox.url 82 bytes
0. Websites you may like/[GigaCourse.Com].url 49 bytes
03 - Predictive Models/[GigaCourse.Com].url 49 bytes
09 - Experimental Design ML in the Real World/[GigaCourse.Com].url 49 bytes
15 - Final Project/[GigaCourse.Com].url 49 bytes
[GigaCourse.Com].url 49 bytes

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