Lec-6.12 Polynomial Regression and Bias Variance Tradeoff (Arif Butt @ Data Science)
1:15 Learning Agenda
2:58 Practical Recap of Linear Regression using Scikit-Learn on Advertising Dataset
11:20 Intuition behind Polynomial Regression
13:32 Simple Linear Regression on Non-Linear Dataset
18:54 Simple Polynomial Regression on Non-Linear Dataset
29:13 How to find the best/optimal Degree of Polynomial?
30:22 Model Parameters vs Hyper-parameters
34:05 Over-fit, Under-fit and Good-fit Models
37:35 Bias-Variance Tradeoff
41:40 Techniques to prevent Overfitting in Supervised Machine Learning
43:45 Multiple Polynomial Linear Regression (A complete Example)
email: [email protected], [email protected], [email protected]
Lecture Slides and Resources: http://arifbutt.me
Jupyter notebooks: https://github.com/arifpucit/data-sci...