PREDICTION OF STOCK PRICES USING SVM

Authors

  • M. Srikala Author
  • Dr Sunita M Author
  • B. swaroopa Author

DOI:

https://doi.org/10.62643/

Keywords:

CSV file, Term Frequency, Data-Pre-processing, Machine Learning, SVM, Decision Tree, Naïve Bayes, API

Abstract

One of the trickiest and most advanced ways to do business is through the stock or share market. The banking industry, brokerage firms, and small owners all rely on this body to generate income and allocate risks; it's a very intricate model. To help make this unstable business structure a bit more predictable, this presentation suggests leveraging open-source libraries and pre-existing algorithms in conjunction with machine learning algorithms to forecast the future stock price for exchange.

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Published

07-03-2025

How to Cite

PREDICTION OF STOCK PRICES USING SVM. (2025). International Journal of Engineering Research and Science & Technology, 21(1), 157-163. https://doi.org/10.62643/