Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prediction of Stock Prices using Prophet Model with Hyperparameters tuning Subject The topic of the resource forecast; hyperparameter tuning; prophet model; share prices; time-series Description An account of the resource As part of the data analytical process, predicting and time - series are crucial. In academics and financial research, anticipating share prices is a prominent and significant subject. A share market would be an uncontrolled environment for anticipating shares since there are no fundamental guidelines for evaluating or anticipating share prices there. As a result, forecasting share prices is a difficult time-series issue. fundamental, technical, time series predictions and analytical strategies are just a few of the various techniques and approaches that machine learning uses to execute stock value predictions. This article implements the stock price prediction, Researchers compared the model of the prophet with the tuned model of the prophet. By utilizing the tuning of hyperparameters using parameter grid search to improve the performance of the model accuracy for the best prediction. The findings of the study demonstrated that tuned model of the prophet with hyperparameters tuning which results in model accuracy and based on the experimental findings mean squared error (MSE) and mean absolute percentage error (MAPE) has significant improvement. 2022 IEEE. Creator An entity primarily responsible for making the resource Maheshwari A.; Malhotra A.; Tuteja S.; Ranka M.; Basha M.S.A. Source A related resource from which the described resource is derived 2022 IEEE North Karnataka Subsection Flagship International Conference, NKCon 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/NKCon56289.2022.10126796" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/NKCon56289.2022.10126796</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163063097&amp;doi=10.1109%2FNKCon56289.2022.10126796&amp;partnerID=40&amp;md5=2a3c3f6228de9eb36506ccbaf6051c4c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163063097&amp;doi=10.1109%2fNKCon56289.2022.10126796&amp;partnerID=40&amp;md5=2a3c3f6228de9eb36506ccbaf6051c4c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166545342-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Maheshwari A., School of Commerce, Finance and Accountancy Christ (Deemed to Be University), Department of Commerce, Ghaziabad, India; Malhotra A., School of Commerce, Finance and Accountancy Christ (Deemed to Be University), Department of Commerce, Ghaziabad, India; Tuteja S., Indira Institute of Management Pune (IIMP), Maharashtra, Pune, India; Ranka M., Arch Research College for Higher Education, Jaipur, India; Basha M.S.A., GITAM School of Business, Gandhi Institute of Technology and Management (Deemed to Be University), Bengaluru, India