text: import pandas as pd
  from sklearn import linear_model
  
  df = pd.read_csv('./dataset/dataset_82_pandas.csv')
  x = df.values
  y = df['y'].values
  
  # Create linear regression object
  regression = linear_model.LinearRegression()
  
  # Train the model using the training sets
  regression.fit(x, y)
  
  print(regression.predict([[10000,10000]]))
  print("Coefficients: \n", regression.coef_)
  