# dimtics/Network-Intrusion-Detection-Using-Machine-Learning-Techniques

<https://repo.masters-masters.com/en/repos/dimtics/Network-Intrusion-Detection-Using-Machine-Learning-Techniques>

[Home](https://repo.masters-masters.com/en) › [dimtics](https://repo.masters-masters.com/en/owners/dimtics) › [Network-Intrusion-Detection-Using-Machine-Learning-Techniques](https://repo.masters-masters.com/en/repos/dimtics/Network-Intrusion-Detection-Using-Machine-Learning-Techniques)

dimtics/Network-Intrusion-Detection-Using-Machine-Learning-Techniques has 102 stars on GitHub. Its RepoMasters card: Prototype tier. Language: Jupyter Notebook.

| Field | Value |
| --- | --- |
| Owner | [dimtics](https://repo.masters-masters.com/en/owners/dimtics) |
| Stars | 102 |
| Forks | 43 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2017 |
| Topics | machine-learning, python, jupyter-notebook, network-intrusion-detection, data-mining |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [dimtics/Network-Intrusion-Detection-Using-Machine-Learning-Techniques](https://github.com/dimtics/Network-Intrusion-Detection-Using-Machine-Learning-Techniques) |

## Repository

Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (KNN), Logistic Regression and Random Forest.

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.