Linear Regression From Scratch in Python (Just NumPy, No scikit-learn)

Short summary

Learn linear regression from scratch using only NumPy: implement the closed-form least squares solution, understand R² as a quality metric, and see how gradient descent reaches the same answer. Demystifies what scikit-learn does under the hood.

• •Build linear regression in 15 lines of NumPy with mathematical foundations explained
• •Compare closed-form least squares solution with iterative gradient descent—both reach identical results
• •Use R² metric to evaluate goodness of fit and understand model fundamentals

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