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linear_regression.py
class LinearRegression:
    def fit(self, X, y):
        # Your solution here
        self.weights = np.zeros(X.shape[1])
        for _ in range(self.n_iterations):
            predictions = X @ self.weights
            gradient = X.T @ (predictions - y)
            self.weights -= self.lr * gradient

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