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Supervised Learning: Regression | Day (4/45) | A2Z ML | Mohd Saqib
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In this blog, we will discussed about regression and its types in detail.

Day 4
Imagine you’re a real estate agent and you want to predict the sale price of a house based on its square footage. A simple approach would be to plot the data on a graph and draw a straight line through the points, creating a model that predicts the sale price based on the square footage. This is the basic idea behind linear regression.
I. Linear Regression
- Statistical approach
- Mathematical approach
- Example of linear regression
- Python code solution
II. Multiple Regression
- Statistical approach
- Mathematical approach
- Example of multiple regression
- Python code solution
III. Non-Linear Regression
- Polynomial regression
- Non-polynomial regression
- Examples of non-linear regression
- Python code solution