This repository contains implementation of the Machine Learning algorithms from scratch. The implementation is done in the jupyter-notebook. I tried to make the code as simple as possible for better understanding. This is for learning purpose, for a better understanding of the ML algorithms.

• Linear Regression

• Logistic Regression

• SoftMax Regression

• Cross Entropy

• Shallow Neural Network

• Deep Neural Network

• K-means

• Anomaly Detection

• PCA