Create gradient descent python #12921
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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.