TidyTuesday: Computer Vision with TidyModels and t-SNE

In this #TidyTuesday, I go over how to use Rtsne and implement the t-SNE algorithm using Rtsne. I also show how to pre-process image data using Keras and how to visualize #t-SNE embeddings using Plotly. I then go over the K-nearest neighbor algorithm and its usage in computer vision. Finally, I use the t-SNE embedding with #TidyModels to train a K-NN and Logistic Regression model to predict labels images of handwritten digits.

Code From The Video: https://github.com/andrew-couch/Tidy-Tuesday/blob/master/Season%201/Scripts/TidyTuesdayComputerVisionHelloWorld.Rmd
Josh Starner Stat Quest Video: https://youtu.be/NEaUSP4YerM

PC Setup (Amazon Affiliates)
Keyboard: https://amzn.to/3Bbbk3T
Mouse: https://amzn.to/3BcRGVo
Microphone: https://amzn.to/3ePo9JS
Audio Interface: https://amzn.to/3qTAmjz
Webcam: https://amzn.to/3L9Ql6j
CPU: https://amzn.to/3qGa6Zu
GPU: https://amzn.to/3DnhMHL
RAM: https://amzn.to/3LdTxh7

Видео TidyTuesday: Computer Vision with TidyModels and t-SNE канала Andrew Couch