Analysis of Stock Market using Machine Learning

Authors

  • Riteesh Mandi Dept. of Computer Science and Engineering, Dr. Ambedkar Institute of Technology, Bangalore, India.
  • Skanda G Dept. of Electronic and Communication Engineering, Dr. Ambedkar Institute of Technology, Bangalore, India

Keywords:

Machine Learning, Deep Learning, Stock Market, RNN, LSTM

Abstract

Machine Learning is a prominent area of research that emphasizes on finding patterns in existential data. The field of Machine Learning, can be concisely described as enabling computers to make productive predictions using previous experiences. As there is a large amount of information being available everywhere, it is very important to analyze this data in order to extract some useful information and thus developing algorithms based on this analysis. This can hence be done through data mining and Machine Learning. In addition to many other fields, Machine Learning models have broad applications in the field Bioinformatics. The complexity involved in biological analysis has led to the development of experienced Machine Learning methods. This research paper discusses the importance of a data-driven approach, compared to the formalization of traditional Artificial Intelligence and also primarily focuses on a key approach to forecast company's workflow using Machine learning.

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References

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Published

2021-05-25

How to Cite

[1]
R. Mandi and S. G, “Analysis of Stock Market using Machine Learning”, Int J Eng and Appl Phys, vol. 1, no. 2, pp. 162–167, May 2021.

Issue

Section

Articles