Hands-on-Machine-Learning-Organized-by-Machine-Learning-Club-BVM

🌟 Hands-On Machine Learning: Build While You Learn 🌟

🚀 Peer-to-Peer ML Learning Camp

Organized by ML Club in association with Computer Engineering Department

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📌 Event Overview

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.

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🗓 Schedule & Weekly Roadmap

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

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🛠 Tools & Platforms

We’ll be using the following tools throughout the camp:

• Google Colab
• Kaggle
• Python 🐍
• Libraries:
  • Numpy
  • Pandas
  • Scikit-learn
  • Matplotlib
  • Seaborn

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🤝 Contribution

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

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📜 License

This repository is created and maintained by the ML Club for educational use.
Unauthorized commercial usage is not permitted.