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Stock Price Prediction using machine learning helps you discover the future value of company stock and other financial assets traded on an exchange. The entire idea of predicting stock prices is to gain significant profits. Predicting how the stock market will perform is a hard task to do. There are other factors involved in the prediction, such as physical and psychological factors, rational and irrational behavior, and so on. All these factors combine to make share prices dynamic and volatile. This makes it very difficult to predict stock prices with high accuracy.
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Arup Kadia, Dr Rajesh Dey, Sri Govind Narayan Singh, Dr. Sourabh Singha Roy, Professor Valliappan Raju
Arup Kadia is presently working as Assistant Professor, Faculty of Information Technology & Engineering Narayan Singh University, Jamuhar, Sasaram, Bihar His area of research is on Artificial Intelligence,
Machine Learning, Image Processing, Design and Analysis of Algorithms etc.
Dr.Rajesh Dey is presently working as Associate Professor, Faculty of Information Technology & Engineering Narayan Singh University, Jamuhar, Sasaram, Bihar His area of research is on sign processing Internet of
Things. Artificial Intelligence, Sensor Based System, Automation Design, Electric Vehicle,etc.
Sri Govind Narayan Singh is secretary of Deo Mangal Memorial Trust, The trust behind Excellent Institution and Organizations like Gopal Narayan Singh University, Narayan Medical College and Hospital, Narayan Academy of Managerial Trust and Narayan Nursing College. Posses a strong background of Business Development and Strategy making.
Dr. Sourabh Singha Roy is Associate Professor of Gopal Narayan Singh University in the faculty of Management Studies in India. He did his PhD in Economics from reputed State Government University in West Bengal.
His research interest areas are Foreign Direct Investment, Big Data Application in Business, predictive models in economics etc
.Professor Valliappan Raju is the Director of Research at Perdana University, Malaysia. His Postdoc Fellowship from IIUM, Malaysia was on FinTech research. He specialises in Research Methodology and has graduated 63 doctoral candidates under his supervision as on 2022. Prof Vally is also appointed as sr. researcher at Brno University of Technology, Czech Republic and as Dissertation Supervisor at Arden University, Germany. He has published more than 250 research articles in indexed journals. FinTech, Anthropology and Entrepreneurship are his expertise area. His latest book Fundamentals of Thesis is prescribed for doctoral candidates
