Machine Learning Algorithms from Scratch

This repository contains a collection of machine learning algorithms implemented from scratch for an educational course https://stepik.org/course/68260/. The goal is to provide a clear and intuitive understanding of fundamental machine learning concepts by implementing the algorithms in a step-by-step manner.

Table of Contents

• Introduction
• Implemented Algorithms
• License

Introduction

This repository aims to help deepen understanding of machine learning concepts by implementing various algorithms from scratch.

Implemented Algorithms

1. Linear Regression
2. Logistic Regression
3. k-Nearest Neighbors (k-NN)
4. Decision Trees
5. Random Forest

License

This project is licensed under the MIT License, which means you're free to use, modify, and distribute the code for educational or non-commercial purposes.

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Feel free to reach out with any questions or suggestions. Happy coding and learning!