Ridge Regression Part 2 | Mathematical Formulation & Code from scratch | Regularized Linear Models
Channel: CampusX
Date: 2021-06-03

In the second part of our series, we break down the mathematical formulation of Ridge Regression and guide you through coding it from scratch. Explore the essence of Ridge Regression, a form of regularized linear models, and gain hands-on experience in implementing this advanced regression technique.

Code : https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day55-regularized-linear-models

Matrix Differentiation : http://www.gatsby.ucl.ac.uk/teaching/courses/sntn/sntn-2017/resources/Matrix_derivatives_cribsheet.pdf

Videos to watch:
https://www.youtube.com/watch?v=dXHIDLPKdmA

https://www.youtube.com/watch?v=NU37mF5q8VE

Sklearn Ridge Class: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html

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⌚Time Stamps⌚

00:00 - Intro
00:32 - Revision on Ridge Regression
12:27 - Code Demo
20:50 - Ridge Regression for N-Dimensional Data
33:46 - Coding ridge regression from scratch