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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: May 2023

Volume 8 | Issue 5

Impact factor: 8.15

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Paper Title: Real-Time Stock Market Prediction Using ML and DL
Authors Name: Raghav Dholu , Prerna Lohar , Prerna Mistri , Sayali Bachhav
Unique Id: IJSDR2305268
Published In: Volume 8 Issue 5, May-2023
Abstract: The goal of the project is to predict stock market prices in real-time using machine learning (ML) and deep learning (DL) algorithms. Two models were developed for this purpose, the first model being a combination of Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM), and the second model is a combination of Support Vector Machine (SVM) and LSTM. The datasets used for this research were the historical stock prices of various companies obtained from the Yahoo Finance website. The proposed models were trained, validated, and tested on these datasets. The result of the project concludes that the hybrid combination of CNN-LSTM gives more accuracy than a hybrid combination of SVM-LSTM.
Cite Article: "Real-Time Stock Market Prediction Using ML and DL ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1710 - 1715, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305268.pdf
Downloads: 000222060
Publication Details: Published Paper ID: IJSDR2305268
Registration ID:206696
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1710 - 1715
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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