Advanced Regression Part 1

import sys
import os
import warnings
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.preprocessing import StandardScaler,MinMaxScaler
from sklearn.model_selection import train_test_split,GridSearchCV,KFold,cross_val_score
from sklearn.linear_model import LinearRegression,Ridge,Lasso
from sklearn.feature_selection import RFE
from sklearn.metrics import r2_score

warnings.filterwarnings('ignore')
%matplotlib inline

house_price = pd.read_csv('train.csv')

house_price.head()

house_price.describe()