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import numpy as np from sklearn.linear_model import LinearRegression # Sample data X = np.array([[1], [2], [3], [4], [5]]) y = np.array([2, 4, 5, 4, 5]) # Create and fit the model model = LinearRegression() model.fit(X, y) # Make predictions new_x = np.array([[6], [7]]) predictions = model.predict(new_x) print(predictions)
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