A Comparative Study of Bitcoin Price Prediction Using Machine Learning Algorithms

Authors(4) :-M. Akhil Sai, K. Sarath Chandra Sai, M. Manu Koushik, K. Gowri Raghavendra Narayan

ML and AI-helped exchanging have pulled in developing enthusiasm for as far back as not many years.We examine day-by-day information for different digital currencies over some stretch of time. We show that straightforward exchanging methodologies helped by innovative AI calculations outflank standard benchmarks. We have picked two Machine Learning Algorithms to play out a Comparative Study to foresee cost of a Bitcoin; we have utilized Decision tree regressor and LSTM Algorithms and watched execution of every calculation as far as anticipating the cost of Bitcoin. We saw that Decision tree regressor gives progressively effective and precise outcomes when contrasted with others.

Authors and Affiliations

M. Akhil Sai
UG students, Computer Science and Engineering, VVIT, Nambur, Andhra Pradesh, India
K. Sarath Chandra Sai
UG students, Computer Science and Engineering, VVIT, Nambur, Andhra Pradesh, India
M. Manu Koushik
UG students, Computer Science and Engineering, VVIT, Nambur, Andhra Pradesh, India
K. Gowri Raghavendra Narayan
Assistant Professor Computer Science and Engineering, VVIT, Nambur, Andhra Pradesh, India

LSTM, Decision tree, RNN, Bitcoin

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Publication Details

Published in : Volume 6 | Issue 2 | March-April 2020
Date of Publication : 2020-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 160-163
Manuscript Number : CSEIT206237
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

M. Akhil Sai, K. Sarath Chandra Sai, M. Manu Koushik, K. Gowri Raghavendra Narayan, "A Comparative Study of Bitcoin Price Prediction Using Machine Learning Algorithms ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.160-163, March-April-2020. Available at doi : https://doi.org/10.32628/CSEIT206237
Journal URL : https://res.ijsrcseit.com/CSEIT206237 Citation Detection and Elimination     |      |          | BibTeX | RIS | CSV

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