# milaan9/Machine\_Learning\_Algorithms\_from\_Scratch

<https://repo.masters-masters.com/en/repos/milaan9/Machine_Learning_Algorithms_from_Scratch>

[Home](https://repo.masters-masters.com/en) › [milaan9](https://repo.masters-masters.com/en/owners/milaan9) › [Machine\_Learning\_Algorithms\_from\_Scratch](https://repo.masters-masters.com/en/repos/milaan9/Machine_Learning_Algorithms_from_Scratch)

milaan9/Machine\_Learning\_Algorithms\_from\_Scratch has 203 stars on GitHub. Its RepoMasters card: Prototype tier. This repository explores the variety of…

| Field | Value |
| --- | --- |
| Owner | [milaan9](https://repo.masters-masters.com/en/owners/milaan9) |
| Stars | 203 |
| Forks | 180 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | machine-learning, data-science, machine-learning-matlab, machine-learning-python, tutor-milaan9, naive-bayes-classifier, gaussian-naive-bayes, fitting-algorithm, error-functions, frequentist-methods |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [milaan9/Machine\_Learning\_Algorithms\_from\_Scratch](https://github.com/milaan9/Machine_Learning_Algorithms_from_Scratch) |

## Repository

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## More repos by milaan9

- [milaan9/93\_Python\_Data\_Analytics\_Projects · ★ 709 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/milaan9/93_Python_Data_Analytics_Projects)
- [milaan9/91\_Python\_Mini\_Projects · ★ 374 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/milaan9/91_Python_Mini_Projects)
- [milaan9/Clustering-Datasets · ★ 364 · Alpha](https://repo.masters-masters.com/en/repos/milaan9/Clustering-Datasets)
- [milaan9/01\_Python\_Introduction · ★ 353 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/milaan9/01_Python_Introduction)
- [milaan9/90\_Python\_Examples · ★ 318 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/milaan9/90_Python_Examples)
- [milaan9/06\_Python\_Object\_Class · ★ 316 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/milaan9/06_Python_Object_Class)

## Nearby in Jupyter Notebook

- [NVIDIA/metropolis-nim-workflows · ★ 203 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/NVIDIA/metropolis-nim-workflows)
- [datawhalechina/wow-agent · ★ 203 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/datawhalechina/wow-agent)
- [langchain-ai/context\_engineering · ★ 203 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/langchain-ai/context_engineering)
- [shekkizh/neuralnetworks.thought-experiments · ★ 203 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/shekkizh/neuralnetworks.thought-experiments)
- [telescopeuser/workshop\_blog · ★ 203 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/telescopeuser/workshop_blog)
- [rasbt/data-science-tutorial · ★ 203 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/rasbt/data-science-tutorial)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.