03-01 - What is Regression,
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03-02 - Linear regression for predictive Analytics
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03-03 - Polynomial Regression
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03-04 - Classification Techniques for Engineering Problems
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03-05 - Logistic Regression
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03-06 - Decision Trees and Random Forests
0:12:00
03-07 - Evaluating Supervised Learning Models : Performance metrics: MSE, RMSE, R² for regression
0:10:00
03-08 - Evaluating Supervised Learning Models : Accuracy, precision, recall, and F1-score for classification
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03-09 - Evaluating Supervised Learning Models : Overfitting and Underfitting
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