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Supervised Learning: Regression | Day (4/45) | A2Z ML | Mohd Saqib

Mohd Saqib
8 min readJan 17, 2023

Read my previous blog if you have not covered yet — Prev
In this blog, we will discussed about regression and its types in detail.

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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

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Mohd Saqib
Mohd Saqib

Written by Mohd Saqib

Scholar @ McGill University, Canada | IIT (ISM) | AMU | Travel | msaqib.cs@gmail.com

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