Generates some synthetic data (y = 2x + 3 + noise). Uses gradient descent to find the best slope (theta1) and intercept (theta0) that minimize the mean squared error. Plots the data and the fitted line.
ssaberii/Gradient-Descent-for-Linear-Regression-using-Pythion
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