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kaggle_bengali
kaggle_bengali PublicBronze Medal Solution for Kaggle's Bengali.AI Handwritten Grapheme Classification Competition
Jupyter Notebook
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aweeaton/Checkout-Predictions
aweeaton/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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