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

python/Supervised Learning/Linear Regression/28. Feature Scaling/feature_scaling.py

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+import pandas as pd
+import numpy as np
+from sklearn.linear_model import Lasso
+from sklearn.preprocessing import StandardScaler
+
+train_data = pd.read_csv('data.csv', header=None)
+
+X = train_data.iloc[:, :-1]
+y = train_data.iloc[:, -1]
+
+# Create the standardization scaling object
+scaler = StandardScaler()
+
+# Scale and fit the standardization paramaeters
+X_scaled = scaler.fit_transform(X)
+
+# Create the LR model with Lasso regularization
+lasso_reg = Lasso()
+
+# Fit the model
+lasso_reg.fit(X_scaled, y)
+
+# Get the regression coeficients
+reg_coef = lasso_reg.coef_
+print(reg_coef)