NHL

This notebook aims to show the basics of: Tensorflow 2.0 Shooter Embedding estimation for NHL Player evaluation Evaluate feasibility generating a post that switches between R and python via reticulate Demonstrate code similarity/approach in both languages side-by-side TL;DR Combine Tensorflow/Keras with R NHL Data to estimate Shooter Player Embeddings Export to Tableau for exploration (yes we could use ggplot et.

This repo contains my first-ever R Shiny project. It’s simple, and represents a minimally viable app. It’s super basic, but the app allows us to query and visualize the NHL’s Play-by-play event logs for a given game.