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

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272 B
Python

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)