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

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 l...

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Main Author: Suhaime, Schubrian
Format: Final Year Project
Language:English
Published: 2021
Subjects:
Online Access:http://utpedia.utp.edu.my/id/eprint/24151/1/Stock%20Price%20Prediction%20Analysis%20Dashboard%20using%20Machine%20Learning%20with%20LSTM%20Neural%20Network.pdf
http://utpedia.utp.edu.my/id/eprint/24151/
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spelling oai:utpedia.utp.edu.my:241512023-03-15T07:36:33Z http://utpedia.utp.edu.my/id/eprint/24151/ Stock Price Prediction Analysis Dashboard using Machine Learning with LSTM Neural Network Suhaime, Schubrian T Technology (General) 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. 2021-09 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24151/1/Stock%20Price%20Prediction%20Analysis%20Dashboard%20using%20Machine%20Learning%20with%20LSTM%20Neural%20Network.pdf Suhaime, Schubrian (2021) Stock Price Prediction Analysis Dashboard using Machine Learning with LSTM Neural Network. [Final Year Project] (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Suhaime, Schubrian
Stock Price Prediction Analysis Dashboard using Machine Learning with LSTM Neural Network
description 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.
format Final Year Project
author Suhaime, Schubrian
author_facet Suhaime, Schubrian
author_sort Suhaime, Schubrian
title Stock Price Prediction Analysis Dashboard using Machine Learning with LSTM Neural Network
title_short Stock Price Prediction Analysis Dashboard using Machine Learning with LSTM Neural Network
title_full Stock Price Prediction Analysis Dashboard using Machine Learning with LSTM Neural Network
title_fullStr Stock Price Prediction Analysis Dashboard using Machine Learning with LSTM Neural Network
title_full_unstemmed Stock Price Prediction Analysis Dashboard using Machine Learning with LSTM Neural Network
title_sort stock price prediction analysis dashboard using machine learning with lstm neural network
publishDate 2021
url http://utpedia.utp.edu.my/id/eprint/24151/1/Stock%20Price%20Prediction%20Analysis%20Dashboard%20using%20Machine%20Learning%20with%20LSTM%20Neural%20Network.pdf
http://utpedia.utp.edu.my/id/eprint/24151/
_version_ 1761620923165704192
score 13.18916