Required imports for regularization tutorials

regularization_imports.py

#imports
import numpy as np
import pandas as pd
import math

from sklearn.model_selection import train_test_split

from sklearn.linear_model import LinearRegression
from sklearn.linear_model import Ridge
from sklearn.linear_model import Lasso
from sklearn.linear_model import ElasticNet
from sklearn.metrics import mean_squared_error

from sklearn.preprocessing import PolynomialFeatures
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler

import matplotlib.pyplot as plt
import seaborn as sns

sns.set()
%matplotlib inline

#import training dataset
train_df = pd.read_csv('train.csv', index_col='ID')

#see the columns in our data
train_df.info()

# take a look at the head of the dataset
train_df.head()