Label Encoding of the Target Variable

Let's go straight to the main thing - label encoding implements everything the same as ordinal encoder, but:

Methods work with different data dimensions;
The order of the categories is not important for label encoding.

How to use this method in Python:

from sklearn.preprocessing import LabelEncoder

import pandas as pd

# Simple categorical variable

fruits = pd.Series(['apple', 'orange', 'banana', 'banana', 'apple', 'orange', 'banana'])

# Create label encoder object

le = LabelEncoder()

# Fit and transform the categorical variable using label encoding

fruits_encoded = le.fit_transform(fruits)

# Print the encoded values

print(fruits_encoded)


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from sklearn.preprocessing import LabelEncoder
import pandas as pd

# Simple categorical variable
fruits = pd.Series(['apple', 'orange', 'banana', 'banana', 'apple', 'orange', 'banana'])

# Create label encoder object
le = LabelEncoder()

# Fit and transform the categorical variable using label encoding
fruits_encoded = le.fit_transform(fruits)

# Print the encoded values
print(fruits_encoded)

Tâche

Swipe to start coding

Read the dataset 'salary_and_gender.csv' and encode the output column 'Gender' with label encoding.

Solution

from sklearn.preprocessing import LabelEncoder

import pandas as pd

# Read the dataset

dataset = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/9c23bf60-276c-4989-a9d7-3091716b4507/datasets/salary_and_gender.csv')

# Create label encoder

le = LabelEncoder()

# Transform the categorical variable

dataset['Gender'] = le.fit_transform(dataset['Gender'])

# Print the dataset

print(dataset)

Tout était clair ?

Merci pour vos commentaires !

Section 3. Chapitre 4

from sklearn.preprocessing import LabelEncoder

import pandas as pd

# Read the dataset

dataset = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/9c23bf60-276c-4989-a9d7-3091716b4507/datasets/salary_and_gender.csv')

# Create label encoder

le = ___()

# Transform the categorical variable

dataset['Gender'] = le.___(dataset['Gender'])

# Print the dataset

print(dataset)

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