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Linear Regression Assumptions.mkv
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1. Evaluation metrics rsquare and adjusted rsquare
1. Multicollinearity
2. MSE, MAE, RMSE
3. Regularisation in Linear models-introduction
4. Cross-Validation and hyperparameter tuning
4. Ridge, Lasso and Elastic Net
Assumption of Linear Regression
ML Pipeline
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