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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

text
Linear: [...] Ridge: [...] Lasso: [...]

Concepts Covered

LinearRegression, Ridge, Lasso, coefficient comparison.

Related Problems

  • Problem 2: Observe Lasso Zeroing Out Coefficients
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  • Problem 3: Compare Different Alpha Values
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  • Problem 4: Evaluate Regularized vs Unregularized Models on Test Data
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Input (stdin)

Output

Run your code to see output here...