Organized by ML Club in association with Computer Engineering Department
Welcome to the official repository of the Hands-On Machine Learning Camp! 🎉
This repository will be used for:
- 📂 Sharing weekly learning materials & assignments
- ✍️ Student assignment submissions
Our goal is to make machine learning fun, practical, and peer-driven you’ll learn by building and applying concepts directly.
| Week | Topic | Details |
|---|---|---|
| ✅ Week 1 | Python Basics + Intro to ML | Build foundations in Python & ML |
| ✅ Week 2 | Data Preprocessing + EDA | Work with Titanic dataset, clean & explore data |
| ✅ Week 3 | Visualization + Correlation Analysis | Use Matplotlib & Seaborn for insights |
| ✅ Week 4 | Build Your First ML Model | Regression / Classification + Showcase |
🕒 Duration: 45 mins per session
📍 Venue & Time: Shared 5–7 days before each session
We’ll be using the following tools throughout the camp:
- Google Colab
- Kaggle
- Python 🐍
- Libraries:
- Numpy
- Pandas
- Scikit-learn
- Matplotlib
- Seaborn
This repository is maintained for student learning purposes.
If you spot errors, want to enhance materials, or share resources:
- Open an Issue
- Submit a Pull Request
This repository is created and maintained by the ML Club for educational use.
Unauthorized commercial usage is not permitted.