The Big Picture (Connect Everything)

This is one of the most important sections.

All models follow the same pattern:

🔁 The Machine Learning Workflow

1. Define the problem
   → What are you trying to predict?
2. Prepare the data
   → Clean, structure, select features
3. Train the model
   → Let it learn patterns
4. Evaluate the model
   → Is it accurate?
5. Improve the model
   → Tune, regularize, try alternatives

💡 Example

Problem: Predict house prices

• Start with → Linear Regression
• Improve with → Ridge/Lasso (reduce overfitting)
• Evaluate → Compare predictions vs actual

👉 Same workflow you used throughout the course.