Welcome to our ML workshop! This series is designed to give you hands-on experience with data analysis and machine learning using Python. You'll explore real datasets, write code in live sessions, and build models that reflect real-world problems.
Each session is structured for both learning and doing:
- Lecture: 20–30 minutes
- Break: 10 minutes (in the middle)
- Live Coding: Remainder of the session
Everyone is expected to actively participate during the coding part!
We’ll be using Google Colab for live coding — no installation required!
🔗 You just need a Google account to access Colab notebooks.
If you're offline or prefer local development, Jupyter Notebook works too.
pip install numpy pandas matplotlib scikit-learnNo problem! Start here:
📘 Intro to Notebooks & Colab (3 min)
| Week | Topic |
|---|---|
| ✅ Week 1 | Data Analysis & Visualization |
| ✅ Week 2 | Regression Models |
| 🔄 Week 4 | Clustering |
| 🔄 Week 5 | Deep Learning |
- Make sure you can open Google Colab (Gmail required)
- If using Jupyter, install the required packages
- Have your laptop open and ready during the session
- Be prepared to explore, code, and collaborate!