Categorical Embeddings in Structured Data

In this video, I will explain about the categorical embeddings:
1. What are categorical embeddings?
2. How to train categorical embeddings?
3. Extract categorical embeddings?
4. Use it with a structured data problem
The notebook used in the video is located at:
github.com/saurabhgoel1985/RM...

[@McTonyify]

Wow you did a really good job on explaining the treatment of the categorical variables! THANKS!

[@ramchandracheke]

Thank you Sir for sharing your knowledge. Very succinct and lucid explanation. Keep posting new videos!

[@dansun117]

Thanks so much for making this video!! This is so well explained!!

[@sam7271]

Very well explained by the tutor and code is also made available on top! Can you make useful videos on NLP series. Thanks.

[@mactech816]

Good job bro

[@rajeshvictory9969]

Hi, I'm facing an invalid argument error issue while trying to fit the data into model. Any help on this pls?

[@saeedrahman8362]

thanks for sharing this.
Can you also share the code for how we can add numerical features along with the embedded categorical features

[@christiansetzkorn6241]

Thanks amazing summary of using several categories! I do not understand why you do not use the embedding in conjunction with the numeric features but maybe you wanted to show how it works with XGB? Mind you, I think your results are not convincing and as you said the (one column) embedding being a winner may just be random.

[@juliusk.3291]

wayy too many ads for little value. Few deep explanations, basically just reading the code out loud