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target ordinary encodiing)

DON-PECH answered on March 8, 2022 Popularity 7/10 Helpfulness 4/10

answer target ordinary encodiing)

target ordinary encodiing)

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## Converting range of Age to numeric variable using (target ordinary encodiing)
## Note: Dont map from 0 because of mathematical issue, you should always satart your mapping from 1


df['Age']=df['Age'].map({'0-17':1, 
                         '18-25':2, 
                         '26-35':3, 
                         '36-45':4, 
                         '46-50':5, 
                         '51-55':6, 
                         '55+':7  })
df.head()

#or

## Converting Gender "M" and "F" to numeric variable
## Note: Dont map from 0 because of mathematical issue, you should always satart your mapping from 1

df['Gender']=df['Gender'].map({'F':0, 'M':1})
df.head()

Popularity 7/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: categorical encoding numerical python target using

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Contributed on Mar 08 2022

DON-PECH

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