Computational Thinking, Python, Linear Algebra, Linear Regression, Jupyter Notebook.
'bp', 's1', 's2', 's3', 's4', 's5', 's6'] trn,test,y_trn,y_test = train_test_split(data.data, data.target, test_size=0.2) trn.shape, test.shape ((353, 10), (89, 10)) def regr_metrics(act, pred): return (math.sqrt(metrics.mean_squared_error(act, pred)), metrics.mean_absolute_error(act, pred)) How