Evaluation of time series models for stock price prediction
This project aims to compare and analyse the performance of five time-series forecasting model—ARIMA, SARIMA, Prophet, Holt Winters, and LSTM—in predicting stock prices for the healthcare and technology sectors. The evaluation focuses on the Mean Absolute Error (MAE) and Root Mean Squared Error (RMS...
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| Format: | Final Year Project / Dissertation / Thesis |
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2023
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| Online Access: | http://eprints.utar.edu.my/5407/1/LIM_JING_HAO_2000663.pdf http://eprints.utar.edu.my/5407/ |
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