Tracy Reuter's repositories
bootstrap-match-groups
Match two diagnostic groups via univariate bootstrap
Language:R000
customer-segmentation
Group fictional customers via clustering, using two sklearn algorithms (Birch and MiniBatchKMeans).
Language:Jupyter Notebook000
diagnosis-prediction
Predict a binary outcome (diagnosis) via support vector machine
Language:Python000
dimensionality-reduction
Increase processing efficiency via principal components analysis
Language:Jupyter Notebook000
ICD10-codes-XML-parser
Parse a XML file of ICD10 codes
NLP-sentiment-analysis
Analyze sentiment from text
Language:Jupyter Notebook000
NLP-speech-to-text
Convert speech to text using HuggingFace, comparing Wav2Vec2 versus OpenAI Whisper
Language:Jupyter Notebook000
regression-hypothesis-testing
Test hypotheses for two diagnostic groups via regression
Language:R000
time-series-anomaly-detection
Detect anomalies in time series data via permutation
Language:R000
time-series-visualization
Visualize time series data mean and standard error
Language:Jupyter Notebook000
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