My Personal Setup
Setup of my linux development environment
Kapil Sharma
Regularization in Linear Models
Ridge and Lasso Regression
Local Linear Regression
Moving from Locally Weighted Constants to Lines
Kernel Smoothing
Gaussian Kernel Smoothing and Optimal Bandwidth Selection
Gram-Schmidt Procedure
Solving Regression using Gram-Schmidt Procedure
Geometry of Regression
Geometric Interpretation of Linear Regression