INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The main aim of this final year project was to get an idea of the stock market as how it works and what all are the main attributes to check a particular stock on a particular day. Since tesla stocks have shown a great rise in the last twelve years due to which it is easily to predict the future stocks as well.
The prediction system uses Jupiter as the operator and uses several other libraries through which the prediction can be done for the upcoming stocks. The data set of the past ten years of the stocks value is being provided, on the bases of which the prediction is being taken and the machine is trained with the data set to predicts the upcoming prediction.
Keywords:
Stock Market
Cite Article:
"Stock Market Prediction System Using Machine Learning With Python ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 2, page no.a571-a574, February-2023, Available :http://www.ijnrd.org/papers/IJNRD2302071.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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