Name: Kyle Stahl
Type: User
Bio: Data scientist. Passionate about machine learning, AI, optimization, simulation, and mathematically modeling the real world to solve problems.
Location: Minnesota
Blog: https://kyle-stahl.com/
Kyle Stahl's Projects
Simulating the casino game Blackjack and analyzing a few different card counting/betting strategies
A package for analyzing NCAA march madness tournament data
Tutorials of implementing computer vision in python at 3 different levels of difficulty.
LDA on tweets by 115th Congress in 2018
Optimizing your fantasy football auction draft strategy
Project to understand pharmaceutical spending, currently focused on US government programs.
Exploring the AI Economist package from Salesforce
Automated Player selection for daily fantasy football
An App created with wxPython to randomly select interview questions
Config files for my GitHub profile.
Gurobi modeling examples
Bias detection in the news. Back and front end for areyoufakenews.com
A library to manage and update NFL data in a relational database.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Simulating the casino game Roulette and a comparing a few popular strategies
Files used for the spark demo on my website. PySpark and Sparklyr
Using MVPT to create a minimal risk stock portfolio
Unbiased analysis, summary, and breakdown of the Tax Cuts and Jobs Act that passed in the U.S. Congress in 2017
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.