Pinned Repositories
2016-04-federal-surveillance-planes
The data and analysis referenced in the Apr. 6, 2016 BuzzFeed News article, "Spies in the Skies." https://www.buzzfeed.com/peteraldhous/spies-in-the-skies
2017-08-spy-plane-finder
The data and analysis referenced in the Aug. 7, 2017 BuzzFeed News article, "BuzzFeed News Trained A Computer To Search For Hidden Spy Planes. This Is What We Found." https://www.buzzfeed.com/peteraldhous/hidden-spy-planes
2019_data_science_talk
A2Z-F16
ITP A2Z Course for Fall 2016
acnh_weather_sampling
Adjustable-Markov-Chains
Adjustable Markov Chains is a Python implementation of a text generator based on the concept of Markov Chains, that can be adjusted further via fitness functions.
advanced-shiny
Shiny tips & tricks for improving your apps and solving common problems
Ames
archive_downloader
A node.js book downloader from Archive.org
tla-plus-resources
Personal reading list/reference re: TLA+
cmschmtt's Repositories
cmschmtt/2017-08-spy-plane-finder
The data and analysis referenced in the Aug. 7, 2017 BuzzFeed News article, "BuzzFeed News Trained A Computer To Search For Hidden Spy Planes. This Is What We Found." https://www.buzzfeed.com/peteraldhous/hidden-spy-planes
cmschmtt/2019_data_science_talk
cmschmtt/acnh_weather_sampling
cmschmtt/Ames
cmschmtt/archive_downloader
A node.js book downloader from Archive.org
cmschmtt/bash_basics
Bash scripting basics for my students in ITEC 3860/3870
cmschmtt/BDA_py_demos
Bayesian Data Analysis demos for Python
cmschmtt/cmschmtt
cmschmtt/convert_bmt_arff
cmschmtt/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
cmschmtt/ds9-association-rules
cmschmtt/gas-transit-forecasting
cmschmtt/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
cmschmtt/info-retrieval
Information Retrieval in High Dimensional Data (class deliverables)
cmschmtt/MagicCube
don't ask
cmschmtt/notes
Notes that might as well be public-facing.
cmschmtt/playlistminer
Creates spotify playlists by aggregating top songs from other playlists
cmschmtt/practical-sql
Code and Data for the book "Practical SQL" by Anthony DeBarros, published by No Starch Press (2018).
cmschmtt/pysprite
A Python 3 Re-Implementation of Heathers et al. 'Sample Parameter Reconstruction via Iterative TEchniques (SPRITE)'
cmschmtt/resources
PyMC3 educational resources
cmschmtt/Sampling-based-inference
This repository provides intutive explainations for the approximate inference methods such as MCMC, Gibbs, and HMC
cmschmtt/st-hello-world
cmschmtt/Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
cmschmtt/tests-as-linear
Common statistical tests are linear models (or: how to teach stats)
cmschmtt/the-algorithm
Source code for Twitter's Recommendation Algorithm
cmschmtt/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
cmschmtt/think-bayes
working through think bayes, with notes, etc
cmschmtt/top50spotify2019
Statistics about top 50 tracks on Spotify in 2019
cmschmtt/Trend-Simpsons-Paradox
cmschmtt/wordle-search