Jack Etheredge

Brain-Tumor-Segmentation-3D-UNet-CNN. Brain tumor segmentation using a 3D UNet CNN

early_convolutions_vit_pytorch. (Unofficial) PyTorch implementation of the paper Early Convolutions Help Transformers See Better

Predicting-early-hospital-readmissions. Predicting early hospital readmissions among diabetic patients. I used several supervised machine learning algorithms to predict early hospital readmissions based on a dataset available from UCI and performed a cost benefit analysis to optimize a threshold for recall and precision. I made a simple Flask prediction app as well.

Steam-Webscraping-Linear-Regression. I scraped Steam and steamDB data for every video game available for purchase through Steam and then performed linear regression to predict the number of concurrent users. This was done using Selenium and Python. Many Python packages were used including pandas, seaborn, stats models, scikitlearn, fuzzywuzzy.

Project-guten-bag-of-words. Project-guten-bag-of-words: Automatic genre grouping, similar book recommendation, and visualization of narrative patterns in Project Gutenberg books using unsupervised machine learning. This is an unsupervised learning project involving Project Gutenberg books. I built an associated dash app that’s also included.

Hierarchical-Clustering-of-Differentially-Expressed-Genes. Hierarchical clustering of differentially expressed genes for thesis.