Today I continued my Machine Learning journey and learned about Multiple Linear Regression.

After understanding linear regression with a single input, this concept made more sense because it extends the same idea to multiple features.

📌 What is Multiple Linear Regression?

Multiple Linear Regression is used to predict a numerical value using more than one input.

For example, predicting the price of a house depends on several factors such as:

Size

Number of rooms

Location

Instead of relying on one feature, the model combines all of them to make a more accurate prediction.

🧠 How it Works

Each input has a weight that represents its importance.…