Module 1: Python for ML

• Python basics

• OOP concepts

• NumPy & Pandas

Module 2: Data Science

• Data cleaning

• Data visualization

• Statistics basics

Module 3: Machine Learning

• Supervised learning

• Unsupervised learning

• Model evaluation

Module 4: Advanced ML

• Feature engineering

• Model optimization

• Real-world datasets

Module 5: Project

• ML prediction project

• End-to-end implementation