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17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/4. XGBoosting in R.mp4 195.5 MB
21. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 175.1 MB
7. Regression models other than OLS/5. Ridge regression and Lasso in R.mp4 130.0 MB
21. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 130.0 MB
4. Intorduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.3 MB
13. Simple Decision Trees/8. Building a Regression Tree in R.mp4 127.8 MB
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5. Data Preprocessing for Regression Analysis/12. Bi-variate Analysis and Variable Transformation.mp4 118.6 MB
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6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 108.9 MB
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13. Simple Decision Trees/10. Pruning a Tree in R.mp4 101.7 MB
5. Data Preprocessing for Regression Analysis/18. Correlation Matrix in R.mp4 99.6 MB
6. Linear Regression Model/14. Test-Train Split in R.mp4 95.3 MB
11. K-Nearest Neighbors/2. Test-Train Split in R.mp4 94.5 MB
10. Linear Discriminant Analysis/2. Linear Discriminant Analysis in R.mp4 93.8 MB
7. Regression models other than OLS/2. Subset Selection techniques.mp4 90.9 MB

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4. REGRESSION KEY PERFORMANCE INDICATORS/4. Bias Variance Tradeoff.mp4 199.4 MB
6. MULTIPLE LINEAR REGRESSION/5. Project #1 - Model Training and Evaluation.mp4 165.2 MB
3. SIMPLE LINEAR REGRESSION/8. Project #1 - Test Model.mp4 150.8 MB
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9. LASSO AND RIDGE REGRESSION/5. Ridge and Lasso in Practice.mp4 148.9 MB
6. MULTIPLE LINEAR REGRESSION/6. Project #1 - Model Results Evaluation.mp4 142.3 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/12. Evaluate the Model.mp4 138.7 MB
6. MULTIPLE LINEAR REGRESSION/12. Project #2 - Retraining Model.mp4 135.6 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/9. Project - Visualize Dataset.mp4 135.5 MB
4. REGRESSION KEY PERFORMANCE INDICATORS/2. Regression Metric Part 1.mp4 134.6 MB
3. SIMPLE LINEAR REGRESSION/4. Project #1 - Overview.mp4 132.9 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/11. Train the Model.mp4 127.7 MB
6. MULTIPLE LINEAR REGRESSION/9. Project #2 - Data Visualization.mp4 123.3 MB
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7. LOGISTIC REGRESSION/7. Project #2 - Training Testing.mp4 97.9 MB
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9. LASSO AND RIDGE REGRESSION/2. Ridge Lasso Part 1.mp4 92.8 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/8. Project - Load Dataset.mp4 91.0 MB
7. LOGISTIC REGRESSION/8. Model Testing Visualization.mp4 89.9 MB