Michael Keith's Projects
Code used in Springer Nature/Apress Video Tutorial
Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
The Washington Post is compiling a database of every fatal shooting in the United States by a police officer in the line of duty in 2015 and 2016.
The Washington Post is compiling a database of school shootings in the United States since Columbine.
A replica of the AlphaZero methodology for deep reinforcement learning in Python
An open-access benchmark and toolbox for electricity price forecasting
My Machine Learning demo to the Florida State Masters of Applied Economics program.
My SQL demo to the Florida State Masters of Applied Economics program.
Data Exploration on H-1B Visa dataset
Predicting median home prices in a given list of zip codes
Simple Dashboards with Jupyter
Learning Java (REVISION Q1 2020)
Reinforcement learning with double deep q learning to learn a game with random states
logos
Data, Benchmarks, and methods submitted to the M4 forecasting competition
A scikit-learn-compatible module for estimating prediction intervals.
Learning Java
Monthly data from the FBI's National Instant Criminal Background Check System, converted from PDF to CSV.
Can we model racial differences in police-related fatalities?
Are there factors that reveal racial motivation in police-related fatalities?
My python objects
Code used in Springer Nature/Apress Video Tutorial
Custom R procedures
Using Random Forest to predict the presence of heart disease
The practitioner's forecasting library
Examples of the application of individual scalecast models
Using Boston, which is a dataset of only about 500 records, simulate 29000+ observations with added variables.