ML-from-scratch

This repository is a collection of machine learning algorithms implemented from scratch in Python.

Every algorithm has three parts:

• Using the algorithm to solve a problem with libraries
• Using the algorithm to solve a problem without libraries (from scratch)
• Using the algorithm to solve a real-world problem

1

• Polynomial Regression
• Classification with CNN
• KNN
• Naive Bayes
• Support Vector Machine
• K-Means

2

• Gaussian Mixture Model
• Autoencoder
• Neural Network
• Recurrent Neural Network
• Multilayer Perceptron
• Deep Q-Network

Reference

• Github topic