Ridge Regression Part 3 | Gradient Descent | Regularized Linear Models
Channel: CampusX
Date: 2021-06-04

In the third installment of our series, we delve into Ridge Regression with a focus on Gradient Descent. Explore how this optimization technique plays a crucial role in implementing Ridge Regression, a powerful form of regularized linear models.

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=NU37mF5q8VE

============================
Do you want to learn from me?
Check my affordable mentorship program at : https://learnwith.campusx.in/s/store
============================

📱 Grow with us:
CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official
CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official
My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789
Discord: https://discord.gg/PsWu8R87Z8
E-mail us at support@campusx.in