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 Formula One Race Analysis Using Machine Learning Subject The topic of the resource Decision-making; Machine learning; Motorsport; Predictions; Race; Simulation; Strategy Description An account of the resource Formula One (also known as Formula 1 or F1) is the highest class of international auto-racing for single-seater formula racing cars sanctioned by the Fation International de automobile (FIA). The World Drivers Championship, which became the FIA Formula One World Championship in 1981, has been one of the premier forms of racing around the world since its inaugural season in 1950. This article looks at cost-effective alternatives for Formula 1 racing teams interested in data prediction software. In Formula 1 racing, research was undertaken on the current state of data gathering, data analysis or prediction, and data interpretation. It was discovered that a big portion of the leagues racing firms require a cheap, effective, and automated data interpretation solution. As the need for faster and more powerful software grows in Formula 1, so does the need for faster and more powerful software. Racing teams benefit from brand exposure, and the more they win, the more publicity they get. The papers purpose is to address the problem of data prediction. It starts with an overview of Formula 1s current situation and the billion-dollar industrys history. Racing organizations that want to save money might consider using Python into their data prediction to improve their chances of winning and climbing in the rankings. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Keertish Kumar M.; Preethi N. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-540, pp. 533-540. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-6088-8_47" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-6088-8_47</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149862381&amp;doi=10.1007%2F978-981-19-6088-8_47&amp;partnerID=40&amp;md5=abfa68c37402b5bfca71f0e8d999efdf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149862381&amp;doi=10.1007%2f978-981-19-6088-8_47&amp;partnerID=40&amp;md5=abfa68c37402b5bfca71f0e8d999efdf</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981196087-1 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 Keertish Kumar M., Christ University, Pune, Lavasa, India; Preethi N., Christ University, Pune, Lavasa, India