Highlights
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machine-learning-midterm-project
machine-learning-midterm-project PublicMachine learning pipeline for heart disease probability estimation using Gradient Boosting, Random Forest, and Logistic Regression achieving AUC 0.954 across 13 clinical features.
Python
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sentiment-analysis-v3
sentiment-analysis-v3 PublicClassifying Amazon product reviews by positive or negative sentiment for the SP26 INLS 642 Kaggle competition
Python
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biobeat-smoker-status-prediction
biobeat-smoker-status-prediction PublicModular R pipeline for binary smoking status classification from clinical biomarkers, featuring XGBoost, stacked ensembles, and 10-fold CV tuning across 9 model families on 15,000 patient records.
R
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medical-transcription-specialty-classification
medical-transcription-specialty-classification PublicA containerized FastAPI backend that leverages language models to automatically classify medical specialties and extract clinical entities from unstructured transcription data.
Python
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CATEGORIES
CATEGORIES Public templateThis project is a Python-powered puzzle engine that generates 4x4 word grids using a sophisticated "Chain of Interference" logic, where every word strategically overlaps with multiple categories to…
Python 1
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low-latency-nlp-engine
low-latency-nlp-engine PublicHybrid Python/C++ sentiment classifier with a custom SGD training engine, automated model selection across 8 models, and sub-millisecond inference
Python
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