Machine Learning Algorithms from Scratch

This repository contains implementations of various machine learning algorithms from scratch.
For each algorithm, I have provided:
1. A brief explanation of the algorithm
2. The mathematical formulation,
3. Cost function
4. Gradient descent
5. Implementation in Python
The purpose of this repository is to help you understand how these algorithms work under the hood.

Name	Name	Last commit message	Last commit date
Latest commit History 45 Commits 45 Commits
M606-ML	M606-ML
Neural Network	Neural Network
Reinforcement Learning	Reinforcement Learning
Supervised Machine Learning	Supervised Machine Learning
Unsupervised Machine Learning	Unsupervised Machine Learning
.gitignore	.gitignore
README.md	README.md
data-preprocessing.ipynb	data-preprocessing.ipynb

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