What is Machine Learning (ML)?

Machine Learning is a branch of Artificial Intelligence (AI) that enables computers to learn patterns from data and make decisions without being explicitly programmed.

Why Use Python for Machine Learning?

Python is the most popular language for ML because of:

• Simple syntax – easy for beginners
• Powerful libraries – like scikit-learn, TensorFlow, Pandas, NumPy
• Large community – lots of tutorials, forums, and tools
• Integration – works well with web, mobile, and cloud systems

Key Python Libraries for ML

Typical Workflow in Python for ML

• Import data (CSV, Excel, JSON)
• Clean & prepare data (handle missing values, outliers)
• Visualize data (understand patterns)
• Choose & build a model
• Train & test the model
• Make predictions
• Evaluate performance

Real-World Examples

• Predicting house prices
• Detecting spam emails
• Face recognition
• Voice assistants (like Siri or Alexa)
• Recommendation systems (like Netflix, Amazon)