Josh Montague

STLDecompose. A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

mnist-sklearn. Code and notes from using scikit-learn on the MNIST digits dataset. For more of a narrative on this project, see the article:

social-media-pulse. White paper and code describing the Social Media Pulse model for sudden, unexpected events in Twitter data.

Data-Science-45min-Intros. Materials for our team teaching+learning sessions around CS, ML, stats, and related data science topics. Intended to take ~45 minutes, mostly in narrative IPython notebooks.

tweet-image-labels. An experiment in labeling images found in Tweets.

AnalyzeBoulder-SocialPulse. "Social Media Pulse" Presentation for Feb 2014 Analyze Boulder Meetup

AnalyzeBoulder-GnipDS. Slides for AnalyzeBoulder Meetup presentation

Gnip-Analysis-Pipeline. Processing pipeline for JSON-formatted Tweet data, such as that returned by Gnip APIs.

statlearning-notebooks. Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).

CS231n-Convolutional-Neural-Networks-for-Visual-Recognition. In this repo you can find my solutions for both 2016 and 2017 assignments of the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

co-covid-ww-streamlit. A Streamlit frontend app displaying Colorado's COVID-19 Wastewater data

pure-single. Single blogging theme for Pelican blogs

data-engineering-101. Introduction to Data Engineering workshop, learn to build a data pipeline with Luigi!

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers. aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

PythonDataScienceHandbook. Jupyter Notebooks for the Python Data Science Handbook

thursday. Tweet to let us know if it's currently Thursday.