Data Preprocessing: Encoding Categorical Variables, Label Encoding, One-Hot Encoding.

Publicado el: 13 julio 2024
en el canal de: Program Lover

318

This video explains, Encoding Categorical Variables in Machine Learning.

This video answers the top questions about:

What is Label Encoding in data preprocessing Machine Learning?
What is One-Hot Encoding in data preprocessing Machine Learning?

Encoding Categorical Variables means Converting categorical variables into numerical values.

Encoding categorical variables is a crucial step in data preprocessing.

Machine learning algorithms require numerical input, so categorical data must be transformed into a numerical format.

Encoding Common techniques include Label Encoding and One-Hot Encoding.

Chapters:
00:00 Introduction: Encoding Categorical Variables
00:48 Label Encoding
01:01 Label Encoding Data Convergence Example
02:01 Label Encoding With Data Frame Example
02:31 One-Hot Encoding
02:43 One-Hot Encoding Data Convergence Example
03:44 One-Hot Encoding With Data Frame Example
04:41 Summary

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