UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2205B33


Registration ID:
403407

Page Number

k261-k265

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Title

Bitcoin price prediction Using Machine Learning

Abstract

The purpose of this study is to see how well the direction of the Bitcoin price in USD can be anticipated. The Bitcoin Price Index is used to calculate the price. Through implementation, the task is accomplished with varied degrees of success. The Random Forest achieves the maximum accuracy in classification. Finally, the deep learning models are tested on a GPU and a CPU, with the GPU training time outperforming the CPU implementation by 67 percent.

Key Words

Deep Learning, Recurrent Neural Network, and Random Forest and Bitcoin

Cite This Article

"Bitcoin price prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.k261-k265, May 2022, Available :http://www.jetir.org/papers/JETIR2205B33.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Bitcoin price prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppk261-k265, May 2022, Available at : http://www.jetir.org/papers/JETIR2205B33.pdf

Publication Details

Published Paper ID: JETIR2205B33
Registration ID: 403407
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: k261-k265
Country: Tirupati, AP, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2205B33
Published Paper PDF: https://www.jetir.org/papers/JETIR2205B33

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