Machine Learning From Scratch

A community-built repository which has Machine Learning algorithms that are built using basics (from scratch) in various languages .

What is this repository for?

This repository contains Machine Learning Alogorithms that are implemented from scratch for purpose of better understanding to beginners

Anyone. Absolutely anyone can contribute to this repository. Please check the rules below before you make pull requests.

Add an issue to this repository stating ML Algorithm Name and Language
Fork this repository
Pick an ML Algorithm and a Language
Implement it from scratch without using libraries like skLearn, sciPy etc.
Try to make the code more readable by adding comments wherever required
Add it to your repository in the directory order [repository root]/Algorithm Name/Language/
Create a Pull request
Feel free to improve the README.md

Please do not spam pull request for the sake of Hacktoberfest.
No duplicate entries. Please check if the code is existing or not before you start submitting.
Star this repository to show appreciation towards public efforts.

Name		Name	Last commit message	Last commit date
Latest commit History 116 Commits
.github		.github
.vscode		.vscode
Bayes_Classifier/python		Bayes_Classifier/python
ID3_Classifier/Python		ID3_Classifier/Python
K-means/Python		K-means/Python
KNN		KNN
Linear Regression		Linear Regression
Naive_Bayes/python		Naive_Bayes/python
Neural Network		Neural Network
Notebooks/UsingLibs		Notebooks/UsingLibs
decision_tree		decision_tree
gradient_descent		gradient_descent
logistic_regression		logistic_regression
LICENSE		LICENSE
README.md		README.md