# Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

<https://repo.masters-masters.com/en/repos/Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics>

[Home](https://repo.masters-masters.com/en) › [Western-OC2-Lab](https://repo.masters-masters.com/en/owners/Western-OC2-Lab) › [AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics](https://repo.masters-masters.com/en/repos/Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics)

Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics has 629 stars on GitHub. Its RepoMasters card: Alpha tier.

| Field | Value |
| --- | --- |
| Owner | [Western-OC2-Lab](https://repo.masters-masters.com/en/owners/Western-OC2-Lab) |
| Stars | 629 |
| Forks | 111 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2022 |
| Topics | automated-machine-learning, automl, concept-drift, data-preprocessing, data-stream-processing, data-streams, deep-learning, feature-engineering, hyperparameter-tuning, intrusion-detection-system |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics](https://github.com/Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics) |

## Repository

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

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

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