Let’s wrap up by looking at what you’ve learned—through real examples.
🏡 Example 1: Regression
Goal: Predict house price
Input:
- Size
- Location
- Number of rooms
Output:
- Price (number)
👉 “How much is this house worth?”
📧 Example 2: Classification
Goal: Detect spam emails
Input:
- Email text
- Sender
- Keywords
Output:
- Spam / Not Spam
👉 “Is this email safe?”
🛍️ Example 3: Clustering (Conceptual)
Goal: Group customers
Input:
- Purchase history
- Behavior
Output:
- Customer segments
👉 “What types of customers do we have?”