Lec-6.13 Regularization Ridge Lasso ElasticNet (Arif Butt @ Data Science)
1:08 Learning Agenda
2:26 What is Overfitting and Underfitting
6:23 How to detect Overfitting and Underfitting
7:42 Bias-Variance Tradeoff
10:13 Techniques to prevent Overfitting?
13:17 What is Regularization?
14:20 Overview of Common Regularization Techniques
18:30 Intuition of Regularization using a 2-D Dataset
25:19 Cost Function for Standard Linear Regression
27:11 Cost Function for Ridge (L2) Regression
28:51 Cost Function for Lasso (L1) Regression
33:25 Cost Function for Elastic-Net (L1+L2) Regression
34:23 Scikit-Learn's Estimators for Regularization
35:26 Practical Example 1: Ridge Regression
43:45 Practical Example 2: Ridge Regression
50:02 Practical Example 3: Impact of Alpha Values on Ridge Regression
email: [email protected], [email protected], [email protected]
Lecture Slides and Resources: http://arifbutt.me
Jupyter notebooks: https://github.com/arifpucit/data-sci...