Stock Price Prediction using Linear Regression in Machine Learning
Amit Gupta1, T.J.Nagalakshmi2
1Amit Gupta, UG Scholar, Assistant Professor, Department of Electronic Communication and Engineering, Saveetha School Of Engineering, Saveetha Institute Of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
2Ms.T.J.Nagalakshmi, UG Scholar, Assistant Professor, Department of Electronic Communication and Engineering, Saveetha School Of Engineering, Saveetha Institute Of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
Manuscript received on September 16, 2019. | Revised Manuscript received on 21 September, 2019. | Manuscript published on October 10, 2019. | PP: 1382-1385 | Volume-8 Issue-12, October 2019. | Retrieval Number: L39321081219/2019©BEIESP | DOI: 10.35940/ijitee.L3932.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Forecast of financial exchange has been an alluring subject to the stock representatives and the specialists from different fields. Stock value forecast is dependably a dominating objective for each speculator which encourages them to realizing the future costs thinking about the past records. There have been various examinations to foresee the cost of the loads of a specific organization utilizing AI method. In this paper we would utilize straight relapse to foresee the stock cost of the organization.
Keywords: Stock, Records, AI, StraightRelapse.
Scope of the Article:Machine Learning