Encoding Categorical Values in Pandas for PyTorch (2.2)

Categorical values typically express textual data and require special techniques to be encoded for deep learning. This video shows how to use dummy variables/one hot encoding and more complex ordinal encoding and target encoding for PyTorch. Code for This Video: https://github.com/jeffheaton/t81_558_deep_learning/blob/pytorch/t81_558_class_02_2_pandas_cat.ipynb ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ Textbook - Coming soon GitHub - https://github.com/jeffheaton/t81_558_deep_learning/tree/pytorch ▶️ Play List - https://www.youtube.com/playlist?list=PLjy4p-07OYzuy_lHcRW8lPTLPTTOmUpmi WUSTL Course Site - https://sites.wustl.edu/jeffheaton/t81-558/ ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ️ Website: https://www.heatonresearch.com/ Twitter - https://twitter.com/jeffheaton GitHub - https://github.com/jeffheaton Instagram - https://www.instagram.com/jeffheatondotcom/ Discord: https://discord.gg/3bjthYv ▶️ Subscribe: https://www.youtube.com/c/heatonresearch?sub_confirmation=1 ~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~ Patreon - https://www.patreon.com/jeffheaton Other Ways to Support (some free) - https://www.heatonresearch.com/support.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #Python #Tensorflow #Keras #csv #png #jpg #csv