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@article{151310,
        author = {SRIVISHNU NARAYANAN and Dr. Kayalvizhi Nagarajan},
        title = {STOCK PRICE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {12},
        pages = {407-411},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151310},
        abstract = {Predicting how the stock market will perform is one of the most difficult things to do. There are so many factors involved in the prediction – physical factors vs. physhological, rational and irrational behaviour,
etc. All these aspects combine to make share prices volatile and very difficult to predict with a high degree
of accuracy. Can we usemachine learningas a game changer in this domain? Using features like the latest
announcements about an organization, their quarterly revenue results, etc., machine learning techniques
have the potential to unearth patterns and insights we didn’t see before, and these can be used to make
unerringly accurate predictions.},
        keywords = {Artificial intelligence, machine learning, Data analyzing, deep learning, linear regression},
        month = {},
        }