m-jmc Goto Github PK

2016-election-troll-tweet-analysis

An analysis of election day tweets (EDA, NLP, LDA, Network Graphing)

bert-aita-classification

BERT Classification of Reddit AITA Question Threads (BERT, NLP, Deep Learning, Keras, Tensorflow, CUDA)

blog

Personal blog

blog_posts_prep

cms-30-day-readmission-forecast

CMS Fee-For-Service Medicare 30 Day Readmission Rate forecast of nation-wide inpatient hospital stays that occurred within 30 days of a previous admission (Time series, decomposition, ARIMA)

cosc5610-datamining-fa19

This is the official repository for Marquette University CS Department's COSC 5610/4610 Data Mining course for Fall 2019.

covid

Review of COVID-19 (SARS-CoV-2) confirmed cases and deaths

keras-jupyter-wbcd

Prediction of Malignant Cancer Cells (Accuracy 94.15) Keras, TensorFlow, Jupyter Notebooks

keras-tensorflow-image-classification

Using Deep Learning Convolutional Neural Networks for image classification on Nvidia RTX 2060 Super (Keras, TensorFlow, Deep Learning, CUDA, Anaconda)

m-jmc-xgboost-example-wbcd

Prediction of Malignant Cancer Cells (Accuracy 95.91) EDA, RFE, XGBoost

m-jmc.github.io

COVID Dashboard

multi-class-classification-with-xgboost

Imbalanced multi-classification of COVID positive patient acuity (Recipes, Caret, SMOTE, PCA, Docker)

patient-cost-and-high-value-healthcare

An Analysis of Publicly Available CMS Data (Feature Engineering, XGBoost, Model Performance (GLM, LDA, KNN, SVM, RF), Data storytelling)

us-covid-tracing

State and national COVID-19 mapping, trends, and feature exploration. (SIR, MICE, SVM, EDA)