Master One Hot Encoding: The Key to Handling Categorical Data in Machine Learning 🚀

One Hot Encoding is a method to convert categorical data into a binary matrix, addressing the challenges posed by categorical variables in machine learning models.

Code used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day27-one-hot-encoding

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⌚Time Stamps⌚

00:00 - Intro
00:28 - Revision
02:39 - One Hot Encoding
05:40 - Dummy Variable Trap
10:10 - OHE using most frequent variables
12:15 - Code Example
18:30 - Code Example using SKlearn