text_plain_output_1.png
from sklearn import preprocessing

import pandas as pd

daily_Data = pd.read_csv('../input/KaggleV2-May-2016.csv')

from sklearn import preprocessing
le = preprocessing.LabelEncoder()
le.fit(daily_Data['Gender'])
daily_Data['Gender'] = le.transform(daily_Data['Gender'])
le.fit(daily_Data['No-show'])
daily_Data['No-show'] = le.transform(daily_Data['No-show'])
le.fit(daily_Data['Neighbourhood'])
daily_Data['Neighbourhood'] = le.transform(daily_Data['Neighbourhood'])

daily_Data.head()