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ML Introduction with scikit-learn

bookChallenge: 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)
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Here is a little reminder of the StandardScaler class.

Tâche

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

Solution

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Section 2. Chapitre 11
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bookChallenge: Scaling the Features

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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)
copy

Here is a little reminder of the StandardScaler class.

Tâche

Swipe to start coding

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

Solution

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Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

close

Awesome!

Completion rate improved to 3.13
Section 2. Chapitre 11
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