README.md

Machine Learning Class - II

Machine Learning Class - II recording: Here

May 3, 2021

Topics covered:

• Linear Regression
• Outliers and how it affects models
• Kaggle

Linear Regression

• The OneML website to see the models in action can be found here.
• If you want to dive deeper into the mathematics behind Linear Regression you can follow the course "Fundamentals of ML by Sanjay Dasgupta".

Kaggle

• The homepage for the website can be found here.
• The notebook to practice your coding skills can be found here.

Additional reading material

• Video of 3blue1brown which gives an indepth explanation to gradient descent can be found here.
• Python tutorial covering the prerequisites for attempting the notebook can be found here (videos 1-70)