PREDICTION OF STOCK PRICES USING SVM
DOI:
https://doi.org/10.62643/Keywords:
CSV file, Term Frequency, Data-Pre-processing, Machine Learning, SVM, Decision Tree, Naïve Bayes, APIAbstract
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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