Code for building the Neural Network and a small subset (both row-wise and column-wise) of the dataset used to calculate the embeddings of the blog post: http://www.f1-predictor.com/
keras_model.pyto build the model and save the resulting embeddings.
plot_embeddings.pychanging the filenames in rows 67 and 68 in order to plot the respective embeddings using UMAP.
Otherwise, you can just download the learned embeddings and execute
plot_embeddings.py to plot the respective embeddings using UMAP (you still need to change the filenames in rows 67 and 68).