mammykins
I completed a PhD in Genetic Engineering at the University of Oxford and realised my penchant for Data Science. I transitioned to the public sector with GOV.UK
Government Digital ServiceLondon
Pinned Repositories
govuk-network-data
Data pipeline to extract and preprocess BigQuery user journey data.
eesectors
⚠️ Prototype R package for the creation of the DCMS Sectors Economic Estimates statistical release
machinegurning.github.io
A blog about Data Science, statistics, IoT, and Machine Learning
App-cherry_picker
A Shiny app for mapping School specific variables by Local Education Authority with Leaflet in R
App-forecast
Time series forecasting for common inflators and economic indices using the forecast package 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
student_performance
Decision tree used to build hierarchical rules; can we predict student success?
rap_companion
A technical communication document intended to give assistance to people developing a Reproducible Analytical Pipeline.
mammykins's Repositories
mammykins/App-forecast
Time series forecasting for common inflators and economic indices using the forecast package in R.
mammykins/App-cherry_picker
A Shiny app for mapping School specific variables by Local Education Authority with Leaflet in R
mammykins/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.
mammykins/readme-best-practices
Best practices for writing a README for your open source project
mammykins/ai_games
Code for the AI A-Z course by superdatascience.com
mammykins/blogs
mammykins/command_liner
Practice running R scripts from the command line as part of a pipeline.
mammykins/data_stories
A place to practice exploring and analysing UCI machine learning data sets
mammykins/docker_python_app
Simple container for Python App to practise Docker
mammykins/dotar
A bunch of functions to aid calculations related to the popular computer game Dota 2
mammykins/dygraphs
R interface to dygraphs
mammykins/govuk-corona-analysis-mammykins
mammykins/govuk-scispacy
Experimenting with scispacy for named entity recognition in technical text
mammykins/keras_word_embed
Explores Keras deep-learning models that can process text
mammykins/llm-notes
Working my way through Andrej Karpathy's makemore lessons
mammykins/lm_viz
mammykins/maintenance
Maintenance model - combine deterioration model with a decision model for optimal policy
mammykins/neovis.js
Neo4j + vis.js = neovis.js. Graph visualizations in the browser with data from Neo4j.
mammykins/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.
mammykins/phd-thesis
the written log of my thesis development and my working word document of all writing
mammykins/piggyBac-data
Supplementary information to a published paper, including meta-analysis of the literature and a comprehensive data set from a leading biotechnology company.
mammykins/pyfund
Exemplar scripts demonstrating python fundamentals.
mammykins/Python-for-Analysts
A Python for Analysts Training course
mammykins/rap-review
An exploration of the Reproducible Analytical Pipeline package *eesectors*
mammykins/regregrap
Register of registers reproducible analytical pipeline report.
mammykins/shiny-examples
mammykins/terraform-google-composer-example
Terraform Module for managing Cloud Composer
mammykins/travis-broken-example
An example that will cause a build failure
mammykins/udl_answers
Understanding Deep Learning notebooks (with the TODO completed) and chapter problems with answers in notebook form.
mammykins/zmPDSwR
Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)