Matthew Gregory's repositories
App-forecast
Time series forecasting for common inflators and economic indices using the forecast package in R.
App-cherry_picker
A Shiny app for mapping School specific variables by Local Education Authority with Leaflet in R
govuk-pub-pal
A Streamlit app that uses generative Large Language Models to adjust a user's submitted content in the tone of GOV.UK. A simple proof of concept produced in one evening.
readme-best-practices
Best practices for writing a README for your open source project
command_liner
Practice running R scripts from the command line as part of a pipeline.
data_stories
A place to practice exploring and analysing UCI machine learning data sets
docker_python_app
Simple container for Python App to practise Docker
dotar
A bunch of functions to aid calculations related to the popular computer game Dota 2
govuk-scispacy
Experimenting with scispacy for named entity recognition in technical text
keras_word_embed
Explores Keras deep-learning models that can process text
maintenance
Maintenance model - combine deterioration model with a decision model for optimal policy
neovis.js
Neo4j + vis.js = neovis.js. Graph visualizations in the browser with data from Neo4j.
organogram
Departmental organograms are a great example of how transparency data can be used to assess Government effectiveness and invites you to help us unlock their potential.
phd-thesis
the written log of my thesis development and my working word document of all writing
piggyBac-data
Supplementary information to a published paper, including meta-analysis of the literature and a comprehensive data set from a leading biotechnology company.
Python-for-Analysts
A Python for Analysts Training course
rap-review
An exploration of the Reproducible Analytical Pipeline package *eesectors*
regregrap
Register of registers reproducible analytical pipeline report.
terraform-google-composer-example
Terraform Module for managing Cloud Composer
travis-broken-example
An example that will cause a build failure
udl_answers
Understanding Deep Learning notebooks (with the TODO completed) and chapter problems with answers in notebook form.
zmPDSwR
Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)