Lulu Ricketts

-recent projects-

RIID Answer Correctness Prediction

Implemented Bayesian Knowledge Tracing models to track student knowledge over time using EdNet dataset from RIIID's Answer Prediction Competition


Personal Website

You're looking at it! This website was made using HTML/CSS, some Javascript/JQuery plugins with Bootstrap elements for layout and styling. Its hosted on Github pages with a custom domain name, feel free to check out the code!

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COVID-19 Analysis

Analyzing trends in COVID cases beginning in March across various countries using Python, plotly graphs, some predictive modeling. Currently working on presenting information via plotly Dash

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Traffic Sign Image Classification

Used Python, Pytorch, Sklearn to build a convolutional neural network to classify 43 types of traffic signs taken from the German Traffic Sign Recognition Benchmark on Kaggle. Performed various error analyses and tuned model hyperparameters to get final accuracy of 96%.


Geographical Gun Violence Analysis (US)

Analysis of mass shootings from the year 2019, matched univariate clusters to clusters formed by k-means to assign potential semantic meanings (labels/descriptions) to areas that may be more at risk for shootings.