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

python/Supervised Learning/Linear Regression/27. Regularization/regularization.py

@@ -0,0 +1,15 @@
+import pandas as pd
+import numpy as np
+from sklearn.linear_model import Lasso
+
+train_data = pd.read_csv('data.csv', header=None)
+
+X = train_data.iloc[:, :-1]
+y = train_data.iloc[:, -1:]
+
+lasso_reg = Lasso()
+
+lasso_reg.fit(X, y)
+
+reg_coef = lasso_reg.coef_
+print(reg_coef)