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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

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Paper Title:	Stock Market Prediction Using Lasso Regression
Authors Name:	Dhivya.S , Sowmya.R , Shnega sri.T , Shreenidhi.T.A
Unique Id:	IJSDR2304258
Published In:	Volume 8 Issue 4, April-2023
Abstract:	Accurate prediction of stock market returns is a very challenging task due to the volatile and non-linear nature of the financial stock markets. With the introduction of artificial intelligence and increased computational capabilities, programmed methods of prediction have proved to be more efficient in predicting stock prices. The financial data: Open, High, Low, and Close prices of stock are used for creating new variables used as inputs to the model. The system is developed by a machine learning algorithm such as lasso regression. The models are evaluated using standard strategic indicators: RMSE (Root Mean Squared Error) and MAE (Mean Absolute Error). The low values of these two indicators show that the models are efficient in predicting stock closing prices.
Keywords:	Artificial Intelligence, Lasso regression, Root Mean Squared Error, Mean Absolute Error
Cite Article:	"Stock Market Prediction Using Lasso Regression", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1625 - 1628, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304258.pdf
Downloads:	000337216
Publication Details:	Published Paper ID: IJSDR2304258 Registration ID:205035 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 1625 - 1628 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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