Writing
Technical writing on data science, machine learning, and MLOps.
Monitor Deployed ML Models for Feature Drift with NannyML
Painless post-deployment model monitoring w/o labelled data
Log Sklearn Pipelines with MLflow & Deploy 🚀
Logging sklearn gridsearch CV results to MLflow and deploy the best model to make inferences
Yet Another Caret Workshop
Building predictive modeling pipelines in R
1st LSE CSS Hackathon! London 17-19 April
1st Computational Social Science Hackathon hosted at the London School of Economics
Supervised vs. Unsupervised Learning: Exploring Brexit with PLS and PCA
Exploring the linkages between UK General Election and EU Referendum voting patterns
Scraping Wikipedia Tables from Lists for Visualisation
Extracting table contents from Wikipedia and generating plots going back two millennia
Predicting Conflict Duration with (gg)plots using Keras
Creating an image dataset with ggplot to train deep learning models to predict conflict longevity
Quantitative Story Telling with Shiny: Gender Bias in Syllabi
Interactive visualisations of author gender breakdown in LSE IR reading lists
Visualising US Voting Records with shinydashboard
Visual exploration of nearly 70 years of US voting records
Mining Game of Thrones Scripts with R
Evolution of Dany's Titles and mapping Westeros in R
A Tidytext Analysis of the Weinstein Effect
Gendered verb histories, Pre- and Post-Weinstein
Automatic Time-Series Forecasting with Prophet
Predicting the weather in London using Facebook's open-source forecaster
Dealing with Correlated High-Dimensional Data
A comparison of random forests vs. fuzzy forests when *p >> n*.
Mapping ADA Voting Scores 1947-2015
Shiny app that maps and tracks yearly changes in legislator voting behavior in the US.
Hello, World!
Short introductory post accompanying the R code for generating the website logo.