#Data Preprocessing Template

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

#importing dataSets
dataset=pd.read_csv("Data.csv")
X= dataset.iloc[:,:-1].values
y=dataset.iloc[:,3].values

#Splitting data in training and test Sets
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)"""