Master One Hot Encoding with scikit-learn in Jupyter Notebook π
Learn how to efficiently convert categorical data into numeric format using scikit-learn's OneHotEncoder. Perfect for enhancing your feature engineering skills in Jupyter Notebook!

MaguvuTechHub
273 views β’ Jan 8, 2025

About this video
This video emphasizes one-hot encoding using sklearn.preprocessing as a feature engineering technique that transforms categorical features into numeric ones. Similar to the get_dummies method, it generates new features for each unique category within the categorical feature being converted.
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Video Information
Views
273
Likes
5
Duration
7:31
Published
Jan 8, 2025
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