Rossmann Store Sales Analysis & Forecasting

Posted by Christopher Mertin on July 24, 2017 in Project • 16 min read

Uses public data from Rossmann stores with feature creation to analyze store sales and create a business forecast. Built models to predict sales at certain stores for a given day, as well as found the most important factors driving sales.

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Searching for Exotic Particles in High Energy Physics

Posted by Christopher Mertin on June 09, 2017 in Project • 8 min read

Using data pertaining to Super Symmetry (susy), I explore the use of various algorithms to try and identify particles from data. I look at the use of a Random Forest, Gaussian Na├»ve Bayes, Multi-Layer Perceptron, and Deep Learning with the use of Dropout.

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Predicting Titanic Survival Rates

Posted by Christopher Mertin on December 22, 2016 in Project • 5 min read

Uses data from the Titanic to predict if someone would survive or not on the titanic based on various characteristics.

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