Bryce Grover
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All (4)
classification (1)
clustering (2)
computer vision (1)
deep learning (1)
end-to-end (1)
energy (1)
GeoPandas (1)
geospatial (1)
medical imaging (1)
public health (1)
PyTorch (1)
regression (2)
statistical learning (1)
time series (1)
urban analytics (1)
XGBoost (1)
YOLOv8 (1)

Projects

Writeups in machine learning, computer vision, and applied analytics.

Each piece shows the data, the modeling choices, and the results, including the parts that didn’t work.

Curriculum Learning for Dental Disease Detection

A three-stage YOLOv8 pipeline on the DENTEX 2023 dataset, and an honest negative result.
computer vision
deep learning
medical imaging
YOLOv8
PyTorch
Apr 2026
3 min

Predictive Modeling of U.S. Oral Health Outcomes

Logistic regression, random forests, and XGBoost on NHANES 2017–2018.
statistical learning
classification
regression
public health
XGBoost
Apr 2026
2 min

Residential Electricity Demand Forecasting from Weather

End-to-end pipeline. DSGrid demand profiles plus ERA5 weather via Open-Meteo for NYC.
time series
regression
clustering
energy
end-to-end
Dec 2025
2 min

Geospatial Crime Pattern Analysis

Pandas, scikit-learn, and GeoPandas for clustering urban crime against zoning.
geospatial
clustering
urban analytics
GeoPandas
Dec 2024
1 min
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