# jphall663/interpretable\_machine\_learning\_with\_python

<https://repo.masters-masters.com/en/repos/jphall663/interpretable_machine_learning_with_python>

[Home](https://repo.masters-masters.com/en) › [jphall663](https://repo.masters-masters.com/en/owners/jphall663) › [interpretable\_machine\_learning\_with\_python](https://repo.masters-masters.com/en/repos/jphall663/interpretable_machine_learning_with_python)

jphall663/interpretable\_machine\_learning\_with\_python has 682 stars on GitHub. Its RepoMasters card: Alpha tier. Examples of techniques for training…

| Field | Value |
| --- | --- |
| Owner | [jphall663](https://repo.masters-masters.com/en/owners/jphall663) |
| Stars | 682 |
| Forks | 206 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Topics | machine-learning, python, fatml, xai, gradient-boosting-machine, decision-tree, data-science, fairness, interpretable-machine-learning, interpretability |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [jphall663/interpretable\_machine\_learning\_with\_python](https://github.com/jphall663/interpretable_machine_learning_with_python) |

## Repository

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

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

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