#Data Preprocessing
import numpy as np 

import matplotlib.pyplot as plt
import pandas as pd

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

#splitting data set into the training set and data 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) """