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A Random Forest model that detects network intrusion and anomalies, using the NSL-KDD dataset.

Jupyter Notebook 98.95% HTML 1.02% Python 0.03%
anomaly-detection cybersecurity intrusion-detection-system machine-learning nsl-kdd random-forest

anomaly-threat-hunter-ml's Introduction

╔═══════════════════════ Hey there! ════════════════════════╗
║ I'm a final year CS Student from India.                   ║    😁 Arindal Char
║ Utilizing MERN and ML Models, and learning AWS, LLMs      ║     ├─ Development
║ and Generative AI. I'm also interested in Web3 and Rust.  ║     │   ├─ Minesweeper
║ Currently working on a LLM project.                       ║     │   └─ Chat App
║                                                           ║     └─ Machine Learning
║ Besides development I also love photography, space and    ║         ├─ Nethunter
║ travelling.                                               ║         └─ YOLOv5
╚═══════════════════════════════════════════════════════════╝
const contactMe = {
   Email:    [email protected],
   Twitter:  arindal_17,
   LeetCode: arindal
};

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