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 Machine Learning Based Time Series Analysis for COVID-19 Cases in India Subject The topic of the resource Covid-19; forecasting; India; Machine learning; Prediction model; seasonality; Time series analysis; Trends Description An account of the resource The World Health Organization declared the Coronavirus Infection, or COVID-19, to be widespread. One of the most appropriate methodologies for COVID-19 is time series analysis. The most appropriate technique for COVID-19 is time series analysis. It can be applied to Recognizing Information Patterns and Predicting Insights. The paper summarises the components of time series using the COVID-19 dataset for India as an example of one of the most important methodologies in predictive analytics. Time series models are chosen because they can predict future outcomes, comprehend prior outcomes, provide strategy recommendations, and much more. These common goalrists of temporal arrangement modelling do not differ significantly from those of cross-sectional or board data modelling. Machine Learning may be a well-known fact that it is an excellent technique for imagining, discourse, and standard dialect management for a large clarified accessible dataset. The results for confirmed, recovered, and death cases are presented in this study. 2022 IEEE. Creator An entity primarily responsible for making the resource Sagaya Aurelia P.; Aruna S K.; Rekha V. Source A related resource from which the described resource is derived 8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022, pp. 1932-1937. 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/ICACCS54159.2022.9785100" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACCS54159.2022.9785100</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133212432&amp;doi=10.1109%2FICACCS54159.2022.9785100&amp;partnerID=40&amp;md5=a9c194fa68f601531d63b5b543c59c9a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133212432&amp;doi=10.1109%2fICACCS54159.2022.9785100&amp;partnerID=40&amp;md5=a9c194fa68f601531d63b5b543c59c9a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166540816-5 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 Sagaya Aurelia P., Christ (Deemed to Be University), Department of Computer Science, Karnataka, Bangalore, India; Aruna S K., Christ (Deemed to Be University), Department of Cse, Karnataka, Bangalore, India; Rekha V., Christ (Deemed to Be University), Department of Cse, Karnataka, Bangalore, India