Problem 1: Compare Linear Regression, Ridge, and Lasso Coefficients
Easypython
Learn the Concept: Regularization (L1/L2)Problem Description
Write a Python program that trains standard Linear Regression, Ridge, and Lasso models on the same dataset, and prints their learned coefficients side by side.
Input
A dataset with several numeric features.
Output
The coefficients from all three models.
Constraints
- At least 6 data points with 3+ features.
Example Input
text(A dataset with 4 features across 6 rows)
Example Output
textLinear: [...] Ridge: [...] Lasso: [...]
Concepts Covered
LinearRegression, Ridge, Lasso, coefficient comparison.
Related Problems
- Problem 2: Observe Lasso Zeroing Out CoefficientsEasy · pythonSolve Problem
- Problem 3: Compare Different Alpha ValuesEasy · pythonSolve Problem
- Problem 4: Evaluate Regularized vs Unregularized Models on Test DataEasy · pythonSolve Problem