[ DevCourseWeb.com ] Udemy - Master Machine Learning with Practical Case Studies

Creation Time	Oct. 20, 2024, 3:07 a.m.
Last Access Time	Dec. 26, 2024, 9:54 p.m.
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~Get Your Files Here !/3 - Logistic Regression using Credit Card Fraud Classification/6 - 7 - Outlier Visualization.mov.mp4 129.2 MB
~Get Your Files Here !/3 - Logistic Regression using Credit Card Fraud Classification/1 - 1 - Introduction.mov.mp4 126.6 MB
~Get Your Files Here !/7 - Random Forest using Housing Price Dataset/1 - 1 - Introduction to Random Forest.mp4.mp4 106.8 MB
~Get Your Files Here !/8 - PCA using Housing Price Prediction/1 - 1 - Part 1.mov.mp4 98.7 MB
~Get Your Files Here !/6 - Decision Tree/2 - 2 - Model Predictions.mov.mp4 97.4 MB
~Get Your Files Here !/9 - K-Means using Social Media and Customer Segmentation/1 - 1 - KMeans using Social Media Dataset Part 1.mov.mp4 90.3 MB
~Get Your Files Here !/5 - Regularization using Sales Price Dataset/1 - 1 - Regularization Part 1.mov.mp4 89.5 MB
~Get Your Files Here !/8 - PCA using Housing Price Prediction/2 - 2 - Part 2.mov.mp4 85.7 MB
~Get Your Files Here !/13 - XGB using Stock Dataset/4 - 4 - Modeling.mov.mp4 84.7 MB
~Get Your Files Here !/2 - Multicollinearity using Car Dataset/7 - 7 - Predictions.mov.mp4 78.6 MB
~Get Your Files Here !/11 - AdaBoost using Housing Price Prediction/3 - 3 - Modeling and Prediction.mov.mp4 76.7 MB
~Get Your Files Here !/11 - AdaBoost using Housing Price Prediction/1 - 1 - Load Dataset.mov.mp4 74.7 MB
~Get Your Files Here !/5 - Regularization using Sales Price Dataset/2 - 2 - Regularization Part 2.mov.mp4 67.4 MB
~Get Your Files Here !/9 - K-Means using Social Media and Customer Segmentation/3 - 3 - KMeans using Mall Customer Segmentation Part 1.mov.mp4 65.7 MB
~Get Your Files Here !/6 - Decision Tree/1 - 1 - EDA.mov.mp4 63.8 MB
~Get Your Files Here !/1 - Linear Regression using House Rent Prediction/1 - 1 - Introduction to Linear Regression.mp4.mp4 59.1 MB
~Get Your Files Here !/2 - Multicollinearity using Car Dataset/1 - 1 - Introduction.mp4.mp4 57.5 MB
~Get Your Files Here !/12 - ARIMA/2 - 2 - Introduction Part 2.mov.mp4 54.3 MB
~Get Your Files Here !/7 - Random Forest using Housing Price Dataset/6 - 6 - Linear Regression Modeling.mov.mp4 52.3 MB
~Get Your Files Here !/2 - Multicollinearity using Car Dataset/4 - 4 - EDA Part 2.mov.mp4 50.6 MB
~Get Your Files Here !/10 - Naive Bayes using Fraud Classification/2 - 3 - EDA.mov.mp4 47.1 MB
~Get Your Files Here !/13 - XGB using Stock Dataset/1 - 1 - Introduction.mov.mp4 46.3 MB
~Get Your Files Here !/3 - Logistic Regression using Credit Card Fraud Classification/5 - 6 - Data Scaling Part 2.mov.mp4 45.8 MB
~Get Your Files Here !/11 - AdaBoost using Housing Price Prediction/2 - 2 - EDA.mov.mp4 45.0 MB
~Get Your Files Here !/4 - SVC using Bank Customer Retirement Classification/1 - 1 - SVC.mov.mp4 44.5 MB
~Get Your Files Here !/2 - Multicollinearity using Car Dataset/3 - 3 - EDA Part 1.mov.mp4 44.1 MB
~Get Your Files Here !/12 - ARIMA/5 - 5 - Seasonal Decomposition Part 2.mov.mp4 43.1 MB
~Get Your Files Here !/13 - XGB using Stock Dataset/3 - 3 - Data Preparation.mov.mp4 42.8 MB
~Get Your Files Here !/3 - Logistic Regression using Credit Card Fraud Classification/7 - 8 - Predictions.mov.mp4 42.5 MB
~Get Your Files Here !/12 - ARIMA/6 - 6 - Modeling and Prediction.mov.mp4 41.8 MB
~Get Your Files Here !/3 - Logistic Regression using Credit Card Fraud Classification/2 - 2 - Logistic Regression.mp4.mp4 41.2 MB
~Get Your Files Here !/7 - Random Forest using Housing Price Dataset/3 - 3 - Import Dataset.mov.mp4 39.6 MB
~Get Your Files Here !/9 - K-Means using Social Media and Customer Segmentation/2 - 2 - KMeans using Social Media Dataset Part 2.mov.mp4 39.4 MB
~Get Your Files Here !/10 - Naive Bayes using Fraud Classification/1 - 1 - Introduction.mov.mp4 39.1 MB
~Get Your Files Here !/13 - XGB using Stock Dataset/5 - 5 - Backtesting.mov.mp4 38.0 MB
~Get Your Files Here !/3 - Logistic Regression using Credit Card Fraud Classification/3 - 3 - EDA Part 1.mov.mp4 35.7 MB
~Get Your Files Here !/1 - Linear Regression using House Rent Prediction/3 - 3 - Import Data.mov.mp4 34.4 MB
~Get Your Files Here !/1 - Linear Regression using House Rent Prediction/5 - 5 - Visualization.mov.mp4 33.9 MB
~Get Your Files Here !/3 - Logistic Regression using Credit Card Fraud Classification/8 - 9 - Finding Best Parameters.mov.mp4 33.4 MB
~Get Your Files Here !/3 - Logistic Regression using Credit Card Fraud Classification/3 - 4 - EDA Part 2.mov.mp4 33.1 MB
~Get Your Files Here !/1 - Linear Regression using House Rent Prediction/6 - 6 - Encode Data.mov.mp4 30.4 MB
~Get Your Files Here !/10 - Naive Bayes using Fraud Classification/2 - 2 - Load Dataset.mov.mp4 30.0 MB
~Get Your Files Here !/13 - XGB using Stock Dataset/6 - 6 - Results.mov.mp4 29.8 MB
~Get Your Files Here !/13 - XGB using Stock Dataset/2 - 2 - EDA.mov.mp4 29.7 MB
~Get Your Files Here !/1 - Linear Regression using House Rent Prediction/9 - 9 - Plot Predictions.mov.mp4 28.9 MB
~Get Your Files Here !/2 - Multicollinearity using Car Dataset/2 - 2 - Linear Regression Data.mov.mp4 28.4 MB
~Get Your Files Here !/2 - Multicollinearity using Car Dataset/6 - 6 - Variance Inflation Factor.mov.mp4 28.2 MB
~Get Your Files Here !/1 - Linear Regression using House Rent Prediction/2 - 2 - Linear Regression.mov.mp4 27.1 MB
~Get Your Files Here !/1 - Linear Regression using House Rent Prediction/7 - 7 - Linear Model.mov.mp4 26.9 MB
~Get Your Files Here !/10 - Naive Bayes using Fraud Classification/3 - 4 - Modeling.mov.mp4 26.8 MB
~Get Your Files Here !/7 - Random Forest using Housing Price Dataset/8 - 8 - Random Forest Modeling.mov.mp4 26.3 MB
~Get Your Files Here !/7 - Random Forest using Housing Price Dataset/7 - 7 - Linear Regression Predictions.mov.mp4 26.0 MB
~Get Your Files Here !/7 - Random Forest using Housing Price Dataset/5 - 5 - Working of Random Forest.mov.mp4 24.8 MB
~Get Your Files Here !/1 - Linear Regression using House Rent Prediction/4 - 4 -Outlier Function.mov.mp4 23.0 MB
~Get Your Files Here !/9 - K-Means using Social Media and Customer Segmentation/4 - 4 - KMeans using Mall Customer Segmentation Part 2.mov.mp4 22.5 MB
~Get Your Files Here !/12 - ARIMA/4 - 4 - Seasonal Decomposition Part 1.mov.mp4 20.6 MB
~Get Your Files Here !/7 - Random Forest using Housing Price Dataset/9 - 9 - Random Forest Predictions.mov.mp4 19.2 MB
~Get Your Files Here !/12 - ARIMA/1 - 1 - Introduction Part 1.mov.mp4 16.6 MB
~Get Your Files Here !/12 - ARIMA/3 - 3 - Stationarity Checks.mov.mp4 16.4 MB
~Get Your Files Here !/3 - Logistic Regression using Credit Card Fraud Classification/4 - 5 - Data Scaling Part 1.mov.mp4 16.3 MB
~Get Your Files Here !/2 - Multicollinearity using Car Dataset/5 - 5 - EDA Part 3.mov.mp4 14.0 MB
~Get Your Files Here !/7 - Random Forest using Housing Price Dataset/10 - 10 - Comparison.mov.mp4 13.7 MB
~Get Your Files Here !/1 - Linear Regression using House Rent Prediction/10 - 10 - Tabulate Results.mov.mp4 12.5 MB
~Get Your Files Here !/7 - Random Forest using Housing Price Dataset/2 - 2 - Overview.mov.mp4 11.9 MB
~Get Your Files Here !/1 - Linear Regression using House Rent Prediction/8 - 8 - Cross Validation and RMSE.mov.mp4 10.1 MB
~Get Your Files Here !/7 - Random Forest using Housing Price Dataset/4 - 4 - Metrics.mov.mp4 9.2 MB
~Get Your Files Here !/10 - Naive Bayes using Fraud Classification/4 - 5 - Results.mov.mp4 6.1 MB
~Get Your Files Here !/11 - AdaBoost using Housing Price Prediction/house_pricing_data.csv.csv 2.4 MB
~Get Your Files Here !/7 - Random Forest using Housing Price Dataset/USA_Housing.csv.csv 709.2 KB
~Get Your Files Here !/9 - K-Means using Social Media and Customer Segmentation/Live.csv.csv 553.8 KB
~Get Your Files Here !/1 - Linear Regression using House Rent Prediction/House_Rent_Dataset.csv.csv 553.7 KB
~Get Your Files Here !/5 - Regularization using Sales Price Dataset/train.csv.csv 449.9 KB
~Get Your Files Here !/8 - PCA using Housing Price Prediction/train.csv.csv 449.9 KB
~Get Your Files Here !/5 - Regularization using Sales Price Dataset/test.csv.csv 440.8 KB
~Get Your Files Here !/8 - PCA using Housing Price Prediction/test.csv.csv 440.8 KB
~Get Your Files Here !/2 - Multicollinearity using Car Dataset/Car_data.csv.csv 219.8 KB
~Get Your Files Here !/4 - SVC using Bank Customer Retirement Classification/Bank_Customer_retirement.csv.csv 14.9 KB
~Get Your Files Here !/9 - K-Means using Social Media and Customer Segmentation/Mall_Customers.csv.csv 3.9 KB
~Get Your Files Here !/Bonus Resources.txt 386 bytes
Get Bonus Downloads Here.url 182 bytes

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