Challenge: Encoding Categorical Variables
To summarize the previous three chapters, here is a table showing what encoder you should use:
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:
12345import 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())
Keep in mind that 'island'
and 'sex'
are categorical features and 'species'
is a categorical target.
Swipe to start coding
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
OnehotEncoder
andLabelEncoder
. - Initialize the features encoder object.
- Encode the categorical feature columns using the
feature_enc
object. - Initialize the target encoder object.
- Encode the target using the
label_enc
object.
Løsning
Takk for tilbakemeldingene dine!
single
Spør AI
Spør AI
Spør om hva du vil, eller prøv ett av de foreslåtte spørsmålene for å starte chatten vår
Awesome!
Completion rate improved to 3.13
Challenge: Encoding Categorical Variables
Sveip for å vise menyen
To summarize the previous three chapters, here is a table showing what encoder you should use:
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:
12345import 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())
Keep in mind that 'island'
and 'sex'
are categorical features and 'species'
is a categorical target.
Swipe to start coding
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
OnehotEncoder
andLabelEncoder
. - Initialize the features encoder object.
- Encode the categorical feature columns using the
feature_enc
object. - Initialize the target encoder object.
- Encode the target using the
label_enc
object.
Løsning
Takk for tilbakemeldingene dine!
Awesome!
Completion rate improved to 3.13single