adding all work done so far (lessons 1 - 5)

python/Supervised Learning/Linear Regression/20. Multiple Linear Regression/quiz.py

@@ -0,0 +1,18 @@
+from sklearn.linear_model import LinearRegression
+from sklearn.datasets import load_boston
+
+boston_data = load_boston()
+x = boston_data['data']
+y = boston_data['target']
+
+model = LinearRegression()
+
+sample_house = [[2.29690000e-01, 0.00000000e+00, 1.05900000e+01,
+                0.00000000e+00, 4.89000000e-01, 6.32600000e+00, 5.25000000e+01,
+                4.35490000e+00, 4.00000000e+00, 2.77000000e+02, 1.86000000e+01,
+                3.94870000e+02, 1.09700000e+01]]
+
+model.fit(x, y)
+
+prediction = model.predict(sample_house)
+print(prediction)