Mike Henderson's Projects
SAS PROC MCMC, Jags, Stan, more!
Covid tool development
Collaboration space for SAS and others to understand, model, and mitigate COVID-19 through analytics
PRR, RR, IC, EBGM (MGPS) and more (including data prep)
Ready-to-run Docker images containing Jupyter applications
Create all possible tables that match a desired result
Go example that prints "Hello World!"
Reconstructing individual-level data from published Kaplan-Meier survival curves using the method proposed by Guyot, Patricia et al (2012)
Azure Function to receive new blog comment forms and create a pull request for each.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Understanding Logistic Regression and Introductory Applications For AI/ML
Repository for our website
Tips and Tools for using SAS Macros in all phases of projects
Machine Learning Pipelines for Kubeflow
A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.
Fast, easy resampling methods using the SAS Viya CAS Engine (bootstrap, double-Bootstrap, jackknife)
A Collection of SAS Projects covering macro management, PROC MCMC, disproportionality measures, and much more.
An interface module to the SAS System. It works with Linux SAS, and is currently intended as a support module for the sas_kernel project which provides a Jupyter Notebook kernel which surfaces the SAS Language and SAS ODS Output to Jupyter Notebooks. Additionally, provides magics which allow SAS code to be submitted for notebooks with other kernels.
Examples and References to feed my other repositories
My GitHub profile repo
My Web home
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
Our Wedding Website 👫