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Converting categorical feature in to numerical features

## 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()

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Converting categorical feature in to numerical features

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