Stock Price Prediction Analysis Dashboard using Machine Learning with LSTM Neural Network

Suhaime, Schubrian (2021) Stock Price Prediction Analysis Dashboard using Machine Learning with LSTM Neural Network. [Final Year Project] (Submitted)

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Abstract

Machine Learning (ML) is a method of studying the computer algorithms that can improve and advance automatically throughout time with experience by using data that is collected by humans. There are many application in our daily lives that we can apply machine learning to. For this project, machine learning will be applied for predicting the future stock market price. This model will predict the stock market price based on past and current data that will be scraped from sources like Yahoo Finance. Machine learning has significant applications in predicting the stock price in the financial market as it has an algorithm that can train and test the available price data to output future price data.

Item Type: Final Year Project
Subjects: T Technology > T Technology (General)
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ms Nurul Aidayana Mohammad Noordin
Date Deposited: 14 Feb 2023 07:00
Last Modified: 15 Mar 2023 07:36
URI: http://utpedia.utp.edu.my/id/eprint/24151

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