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Regression in Python

Track :

Programming

Lessons no : 3

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What will you learn in this course?
  • Implement linear regression models using Python to predict continuous variables accurately using scikit-learn and statsmodels libraries
  • Apply data preprocessing techniques to prepare datasets for regression analysis in Python environments
  • Evaluate and interpret regression model performance metrics such as R-squared, Mean Squared Error, and residual analysis in Python
  • Utilize Python to visualize regression results, including scatter plots, regression lines, and residual plots for better data insights

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Lessons | 3

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Gauri Pradeep 

Really useful
2025-08-17

Aditya Kothapalli 

Good
2025-04-21

Afrasiyab Ahmad 

This helps me in understanding the basics of linear regression
2025-02-01

Mohamed Hassan Nur 

EXCELLENt PROGRAM
2023-12-13

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Linear regression performs the task to predict a dependent variable value (y) based on a given independent variable (x). So, this regression technique finds out a linear relationship between x (input) and y(output). Hence, the name is Linear Regression .