# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import os
print(os.getcwd())
os.chdir('/Users/bgnanasekar/Desktop/workspace/ML-workspace/data/')

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

# Splitting the dataset into the Training set and Test set
from sklearn.cross_validation 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