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

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 ================================== 🔥Python Tutorial for Programmers: https://www.youtube.com/playlist?list=PLM1rOqKFsPJJtiZhVZOOx9ZYVbeH7RuE- 🔥Python Data Type Tutorial for Programmers: https://www.youtube.com/playlist?list=PLM1rOqKFsPJIlJnVlfMQLFpGk1yj_300l 🔥Python Interview Questions: https://www.youtube.com/playlist?list=PLM1rOqKFsPJJr3wsCqkhrvUG_QszNqFbF ================================== Website:- https://programlover.com/machine-learning/preprocessing/data-integration-in-machine-learning Instagram:- https://www.instagram.com/programlover27/ Linkedin:- www.linkedin.com/in/program-lover ================================== #datascience , #machinelearning , #encoding , #labelencoding , #onehotencoding, #datacleaning , #datapreprocessing , #programlover