Sales forecasting in the fashion retail industry using machine learning techniques
This project focuses on developing a sales forecasting system for the fashion retail industry to solve some problem including feature selection, algorithm limitations, and data visibility. Traditional statistical methods like SARIMA and Holt-Winters, along with machine learning techniques like LSTM,...
| Main Author: | Beh, Chi Qian |
|---|---|
| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2024
|
| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/7020/ http://eprints.utar.edu.my/7020/1/fyp_IB_2024_BCQ.pdf |
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