
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

#import the dataset
dataset = pd.read_csv('Data.csv')
X = dataset.iloc[:, :-1].values
y = dataset.iloc[:, 3].values


#splitting the dataset into the traning set and test set
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.2,random_state=0 )

#Feature scaling
from sklearn.preprocessing import StandardScaler
sc_X= StandardScaler()
X_train = sc_X.fit_transform(X_train)
X_test = sc_X.transform(X_test)