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Checkout-Predictions
Checkout-Predictions PublicBeginning with over 30 Gigabytes of data, we utilized PySpark, Amazon EMR, and H2O to achieve over 0.91 ROC AUC and 0.80 PR AUC for classifying which library books will be checked out.
Jupyter Notebook 2
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beer-style-classification
beer-style-classification PublicForked from jgoffin/beer-style-classification
Using data from Kaggle on Beer Recipe data, we attempt to predict the style of each beer
Jupyter Notebook
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argo_sensor_analysis
argo_sensor_analysis PublicForked from MaxiFrank/argo_sensor_analysis
Group project focused on scraping, processing, and visualizing data from the Argo API. This project was then passed on to a group that performed spectral clustering on the data.
Jupyter Notebook
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DLBCL_Subtype_Predictor
DLBCL_Subtype_Predictor PublicPDF of workflow to predict DLBCL subtype based on chromosome copy number data.
If the problem persists, check the GitHub status page or contact support.