- Chicago, IL
- https://www.linkedin.com/in/pmannuel/
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Kickstartin-Success
Kickstartin-Success PublicAn exploration on Kickstarter campaigns that culminated with 4 models (RandomF, AdaBoost, XGBoost, Logistic Regression) to predict campaign success 😃 or failure 😢
Jupyter Notebook 2
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Tippin_Point
Tippin_Point Public🚕 Studying behavioral biases in taxi tipping. Using NYC Green Taxi data, an ensemble model (regression on top of classification) is built to predict tip percentage.
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BubblyBeverages
BubblyBeverages PublicThe beverage choice that accompanies most American pastime is divided between 🍺 Beer and 🥤 Soda. A market segmentation is performed to study this division - brands, demographic, profit - with the g…
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5 contributions in the last year
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