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David J. Cox's Projects

data-science-best-practices icon data-science-best-practices

The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.

examples icon examples

Examples of exercises that accompany Effective Computation in Physics

glimpsek12 icon glimpsek12

Maximizing student outcomes through predictive analytics.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

man-vs-machine icon man-vs-machine

Comparing behavior science vs data science models of MLB player behavior.

ml-react-app-template icon ml-react-app-template

This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.

openpose icon openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

supplmat-stats-aba icon supplmat-stats-aba

This repository contains the supplementary material described in the book, "Statistics for Applied Behavior Analysis Practitioners and Researchers".

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