Challenge: Scaling the Features

In this challenge, you need to scale the features using StandardScaler. The data is the penguins dataset (encoded and with no missing values).


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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_encoded.csv')

print(df)

Here is a little reminder of the StandardScaler class.

Task

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Import the class that standardizes features by making the mean equal to 0 and the variance equal to 1.
Initialize the scaler.
Scale the X matrix of features.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 11

Challenge: Scaling the Features

In this challenge, you need to scale the features using StandardScaler. The data is the penguins dataset (encoded and with no missing values).


              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_encoded.csv')

print(df)

Here is a little reminder of the StandardScaler class.

Task

Swipe to show code editor

Import the class that standardizes features by making the mean equal to 0 and the variance equal to 1.
Initialize the scaler.
Scale the X matrix of features.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 11

Switch to desktop for real-world practiceContinue from where you are using one of the options below