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Gradient Descent on Wine Dataset
This project demonstrates Gradient Descent in Python applied to the Wine dataset from sklearn.
It uses linear regression on one feature and visualizes the convergence of the Mean Squared Error (MSE) over iterations.
Loads the Wine dataset using sklearn.datasets.
Standardizes features using StandardScaler.
Implements Gradient Descent from scratch.
Plots MSE vs Iterations to visualize convergence.
Prints final parameters (slope and intercept) after optimization.

@Manveen777 Manveen777 closed this Aug 22, 2025
@Manveen777 Manveen777 reopened this Aug 22, 2025
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Closing this pull request as invalid

@Manveen777, this pull request is being closed as the files submitted contains an invalid extension. This repository only accepts Python algorithms. Please read the Contributing guidelines first.

Invalid files in this pull request: gradient descent python

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