# curiousily/Machine-Learning-from-Scratch

<https://repo.masters-masters.com/en/repos/curiousily/Machine-Learning-from-Scratch>

[Home](https://repo.masters-masters.com/en) › [curiousily](https://repo.masters-masters.com/en/owners/curiousily) › [Machine-Learning-from-Scratch](https://repo.masters-masters.com/en/repos/curiousily/Machine-Learning-from-Scratch)

curiousily/Machine-Learning-from-Scratch has 198 stars on GitHub. Its RepoMasters card: Prototype tier. Succinct Machine Learning algorithm implementations…

| Field | Value |
| --- | --- |
| Owner | [curiousily](https://repo.masters-masters.com/en/owners/curiousily) |
| Stars | 198 |
| Forks | 66 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | machine-learning, machine-learning-algorithms, data-science, artificial-intelligence, neural-networks, regression, classification, notebook, book, sentiment-analysis |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [curiousily/Machine-Learning-from-Scratch](https://github.com/curiousily/Machine-Learning-from-Scratch) |

## Repository

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

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

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