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

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.

Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn – the most popular library for ML and build your first Machine Learning project.
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Learn the Machine Learning concepts and the ML project workflow.

Preprocessing is probably the most important stage of an ML project. This chapter covers the preprocessing steps needed for almost any dataset.

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Challenge: Scaling the Features

Lösung

Awesome!

Challenge: Scaling the Features

Lösung

Awesome!