# Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning

<https://repo.masters-masters.com/en/repos/Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning>

[Home](https://repo.masters-masters.com/en) › [Western-OC2-Lab](https://repo.masters-masters.com/en/owners/Western-OC2-Lab) › [Intrusion-Detection-System-Using-Machine-Learning](https://repo.masters-masters.com/en/repos/Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning)

Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning has 601 stars on GitHub. Its RepoMasters card: Alpha tier. Code for IDS-ML: intrusion…

| Field | Value |
| --- | --- |
| Owner | [Western-OC2-Lab](https://repo.masters-masters.com/en/owners/Western-OC2-Lab) |
| Stars | 601 |
| Forks | 162 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2021 |
| Topics | machine-learning, random-forest, decision-tree, xgboost, bayesian-optimization, hyperparameter-optimization, hpo, kmeans, python-examples, intrusion-detection |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning](https://github.com/Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning) |

## Repository

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

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.