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