Celebal Summer Internship '24

This repository contains all work done by me during the Celebal Summer Internship in Data Science using Python, starting from 3rd June 2024.

Syllabus · Final Project · Reference

Syllabus

🐍 Week 1: Introduction to Python
🧩 Week 2: Object-Oriented Programming in Python
📊 Week 3: Data Science with Python
🤖 Week 4: Basics of ML
📈 Week 5: Statistics
🛠️ Week 6: Feature Engineering
📉 Week 7: Regression
🔍 Week 8: Clustering

Final Project

Problem Statement

Using unsupervised learning techniques such as isolation forests or autoencoders to detect unusual patterns or anomalies in network traffic data, which could indicate potential security breaches or system malfunctions.

Dataset

The dataset used for this project is the KDD Cup 1999 Data , which contains network traffic data collected from a real-world network environment.

Acknowledgements

Distributed under the GNU General Public License v3.0. See LICENSE for more information.