Machine Learning Algorithms From Scratch

This repository is my attempt at demystifying machine learning algorithms. Each section of this repository will contain an explanatory notebook in which I will try my very best to explain the mathematical intuition behind the ML algorithm. In conjunction with that, a bare-bones Numpy implementation of the algorithm will also be developed.

This repository will always be a work in progress, and I will add new algorithms as I go.

Content:

1. Supervised Learning:

• Least Squares Regression(Multi_Linear)
• Linear Regression Gradient Descent
• Logistic Regression
• K-Nearest Neighbors

2. Unsupervised Learning:

• [Principal Component Analysis(PCA)]