Regression Challenges
Practice implementing and optimizing regression algorithms to predict continuous values.
Beginner
Simple Linear Regression from Scratch
Implement a simple linear regression model without using any ML libraries. Calculate coefficients using the normal equation.
Linear Regression
Python
NumPy
Intermediate
Multiple Linear Regression with Feature Selection
Implement multiple linear regression with feature selection techniques to improve model performance.
Multiple Regression
Feature Selection
Python
Intermediate
Polynomial Regression and Overfitting
Implement polynomial regression and analyze the trade-off between model complexity and generalization.
Polynomial Regression
Overfitting
Regularization
Coming Soon
Ridge and Lasso Regression Comparison
Implement and compare Ridge and Lasso regression for handling multicollinearity and feature selection.
Ridge
Lasso
Regularization