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 text | https://www.etd.ceu.edu/2019/pasztor_aurel.pdf |
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