Encode Categorical Variables

To summarize the previous three chapters, here is a table showing what encoder you should use.

Column	Encoder
`X`, ordinal values	`OrdinalEncoder`
`X`, nominal values	`OneHotEncoder`
`y`	`LabelEncoder`

In this challenge, you have the Penguins dataset file (with no missing values).
You need to deal with all the categorical values, including the target ('species' column).
Here is the reminder of the data you will work with:


              12345
            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a65bbc96-309e-4df9-a790-a1eb8c815a1c/penguins_imputed.csv')

print(df.head())

Here 'island' and 'sex' are categorical features and 'species' is a categorical target

Завдання

Encode all the categorical values. For this, you need to choose the correct encoder for the 'island', and 'sex' columns and follow the steps.

Import the correct encoder for features.
Initialize the features encoder object.
Fit and transform the categorical feature columns using the feature_enc object.
Fit and transform the target using LabelEncoder.

Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів

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Дякуємо за ваш відгук!

Секція 2. Розділ 8

Encode Categorical Variables

To summarize the previous three chapters, here is a table showing what encoder you should use.

Column	Encoder
`X`, ordinal values	`OrdinalEncoder`
`X`, nominal values	`OneHotEncoder`
`y`	`LabelEncoder`


              12345
            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a65bbc96-309e-4df9-a790-a1eb8c815a1c/penguins_imputed.csv')

print(df.head())

Here 'island' and 'sex' are categorical features and 'species' is a categorical target

Завдання

Encode all the categorical values. For this, you need to choose the correct encoder for the 'island', and 'sex' columns and follow the steps.

Import the correct encoder for features.
Initialize the features encoder object.
Fit and transform the categorical feature columns using the feature_enc object.
Fit and transform the target using LabelEncoder.

Все було зрозуміло?

Дякуємо за ваш відгук!

Секція 2. Розділ 8

Encode Categorical Variables

To summarize the previous three chapters, here is a table showing what encoder you should use.

Column	Encoder
`X`, ordinal values	`OrdinalEncoder`
`X`, nominal values	`OneHotEncoder`
`y`	`LabelEncoder`


              12345
            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a65bbc96-309e-4df9-a790-a1eb8c815a1c/penguins_imputed.csv')

print(df.head())

Here 'island' and 'sex' are categorical features and 'species' is a categorical target

Завдання

Encode all the categorical values. For this, you need to choose the correct encoder for the 'island', and 'sex' columns and follow the steps.

Import the correct encoder for features.
Initialize the features encoder object.
Fit and transform the categorical feature columns using the feature_enc object.
Fit and transform the target using LabelEncoder.

Все було зрозуміло?

Дякуємо за ваш відгук!

To summarize the previous three chapters, here is a table showing what encoder you should use.

Column	Encoder
`X`, ordinal values	`OrdinalEncoder`
`X`, nominal values	`OneHotEncoder`
`y`	`LabelEncoder`


              12345
            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a65bbc96-309e-4df9-a790-a1eb8c815a1c/penguins_imputed.csv')

print(df.head())

Here 'island' and 'sex' are categorical features and 'species' is a categorical target

Завдання

Encode all the categorical values. For this, you need to choose the correct encoder for the 'island', and 'sex' columns and follow the steps.

Import the correct encoder for features.
Initialize the features encoder object.
Fit and transform the categorical feature columns using the feature_enc object.
Fit and transform the target using LabelEncoder.

Секція 2. Розділ 8