# PacktPublishing/Applied-Machine-Learning-Explainability-Techniques

<https://repo.masters-masters.com/en/repos/PacktPublishing/Applied-Machine-Learning-Explainability-Techniques>

[Home](https://repo.masters-masters.com/en) › [PacktPublishing](https://repo.masters-masters.com/en/owners/PacktPublishing) › [Applied-Machine-Learning-Explainability-Techniques](https://repo.masters-masters.com/en/repos/PacktPublishing/Applied-Machine-Learning-Explainability-Techniques)

PacktPublishing/Applied-Machine-Learning-Explainability-Techniques has 251 stars on GitHub. Its RepoMasters card: Alpha tier. Applied Machine Learning…

| Field | Value |
| --- | --- |
| Owner | [PacktPublishing](https://repo.masters-masters.com/en/owners/PacktPublishing) |
| Stars | 251 |
| Forks | 106 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2021 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [PacktPublishing/Applied-Machine-Learning-Explainability-Techniques](https://github.com/PacktPublishing/Applied-Machine-Learning-Explainability-Techniques) |

## Repository

Applied Machine Learning Explainability Techniques, published by Packt

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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