# pavankalyan1997/Machine-learning-without-any-libraries

<https://repo.masters-masters.com/en/repos/pavankalyan1997/Machine-learning-without-any-libraries>

[Home](https://repo.masters-masters.com/en) › [pavankalyan1997](https://repo.masters-masters.com/en/owners/pavankalyan1997) › [Machine-learning-without-any-libraries](https://repo.masters-masters.com/en/repos/pavankalyan1997/Machine-learning-without-any-libraries)

pavankalyan1997/Machine-learning-without-any-libraries has 187 stars on GitHub. Its RepoMasters card: Prototype tier. This is a collection of some of the…

| Field | Value |
| --- | --- |
| Owner | [pavankalyan1997](https://repo.masters-masters.com/en/owners/pavankalyan1997) |
| Stars | 187 |
| Forks | 167 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Topics | machine-learning-algorithms, jupyter-notebook, simple-linear-regression, k-means-clustering, multiple-linear-regression, knn-classifier, naive-bayes-classifier, artificial-neural-networks |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [pavankalyan1997/Machine-learning-without-any-libraries](https://github.com/pavankalyan1997/Machine-learning-without-any-libraries) |

## Repository

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

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.