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import numpy as np # linear algebra
import pandas as pd # data processing
import os # to deal with os level operations
import matplotlib.pyplot as plt # used for plating
import seaborn as sns # more platting options
from sklearn.model_selection import cross_val_score # Use for K-fold validation & getting score for each fold
train  = pd.read_csv('/Users/dinesh.chauhan/Data/titanic_train.csv')
test  = pd.read_csv('/Users/dinesh.chauhan/Data/titanic_test.csv')
train.head()
test.head()