Machine Learning, Python, Programming, Data Science, Technology.
train_df['y'] = 3 + train_df['a'] + 2*train_df['b'] reg = LinearRegression().fit(train_df.drop(columns=['y']), train_df['y']) # Create a mock input dataset X1 = np.array([[5, 3], [10, -4]]) input_set1 = pd.DataFrame(X1, columns=['a', 'b']) input_set1.to_csv('input_set1.csv', index=False) # Create