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Machine learning is like teaching a computer to recognize patterns by learning from examples-just as a child learns to identify dogs by seeing many pictures.

Let’s start with Linear Regression, the simplest model, using a house price prediction example.

1. Linear Regression: Predicting with Straight Lines

Imagine you want to predict house prices based on their size. A real estate agent might eyeball a straight line through past data points. In mathematical terms, this line is:

$$ hθ(x) = θ0 + θ1x $$

Where:

• θ0: Base price (like land cost)
• θ1: Price per square foot

<aside> 🙇🏻

Analogy: Baking Cookies

• θ0 is the fixed baking time
• θ1 is how much extra time you add per gram of dough </aside>