CEU eTD Collection (2019); Pásztor, Aurél: Improving Purchase Prediction with Seasonality Features

CEU Electronic Theses and Dissertations, 2019
Author Pásztor, Aurél
Title Improving Purchase Prediction with Seasonality Features
Summary I work with data from one of the largest independent marketing platform companies in the world.
The goal of this project is to see if seasonality-based additional features can improve the company’s existing logistic regression model that predicts purchase probability for web shop customers in the next 14 days.
Supervisor Pál, Jenő
Department Economics MSc
Full texthttps://www.etd.ceu.edu/2019/pasztor_aurel.pdf

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