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,...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | Final Year Project / Dissertation / Thesis |
| 出版事項: |
2024
|
| 主題: | |
| オンライン･アクセス: | http://eprints.utar.edu.my/7020/1/fyp_IB_2024_BCQ.pdf http://eprints.utar.edu.my/7020/ |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|