L1 and L2 Regularization in Machine learning (Mathematics Explained!)
MathIsFun - https://bit.ly/3eTf13d
My video on y=mx+b- https://bit.ly/3uh6227
GitHub- https://bit.ly/3eQ0wwX
Hey guys,
This video will dive into the Mathematics of Ridge, Lasso, and Elastic Net and implement the same with Python from scratch. Enjoy!
⭐ TimeStamp ⭐
00:00- Introduction
00:25- What is Regularization?
02:03- L2 Regularization
02:12- L1 Regularization
03:03- Connecting with Lasso, Ridge, and Elastic net
03:46- Ridge Regression Mathematics
05:15- Lasso Regression Mathematics
05:54- Elastic Net Mathematics
07:43- Comparison between Linear Regression and Ridge
08:51- Live Animation of Ridge Convergence
09:45- Changes in best fit line with respect to Alpha
10:32- Implementing with Python!
🔗 Social Media 🔗
📱 Twitter: https://bit.ly/3aJWAeF
📝 LinkedIn: - https://bit.ly/3aQGGiL
🌎 Website: https://bit.ly/31F4nb2
📂 GitHub: https://bit.ly/2QGLVYV
⭐ Credits to Aakash Gaikwad ⭐
See his Blog - https://bit.ly/3gG6sre
For any difficulty Contact me here - https://bit.ly/3nFDJrO
OR ask me in YouTube comment Box..!!!
Thank You,
Pritish Mishra