Python for AI: Create 5 Practical Projects in One Week

Learn AI by building 5 real projects with Python - fast and beginner-friendly.

This guide walks you through practical projects like recommendation systems, image recognition, fraud detection, and stock price prediction using essential tools like Pandas, Scikit-Learn, TensorFlow, and PyTorch.

Inside the guide, you’ll learn how:

• Netflix-style recommendation systems work behind the scenes (Pages 4–9).
• Image recognition models understand objects using CNNs (Pages 10–15).
• LSTM neural networks predict stock prices with time-series data (Pages 16–20).
• To prepare datasets, clean inputs, engineer features, and visualize results.
• To write Python code that actually solves real-world AI problems.

You'll also see architecture diagrams, real datasets, model training steps, and code blocks that you can run instantly in your own environment.

💡 Why you should grab it

• You’ll build real, portfolio-ready AI projects, not just read theory.
• Each project is broken down visually and clearly for fast learning.
• Perfect for beginners wanting to move into AI or upgrade Python skills.