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  Published Paper Details:

  Paper Title

CRYPTOCURRENCY MARKET PRICE PREDICTION USING DATA SCIENCE PROCESS

  Authors

  Preethi S,  Anushri C,  Nandhini H,  Haritha P

  Keywords

Cryptocurrency, Random Forest Algorithm, Decision Tree, LASSO Algorithm, Regression Tree Algorithm, Data Science, Machine Learning.

  Abstract


Cryptocurrency is a digital currency wherein the coin ownership records are stored in a ledger existing in a form of a computerized database using strong cryptography to secure transaction records and control the creation of additional coins and verify the transfer of coin ownership. Nowadays cryptocurrencies are used on large scale and there is a sudden rise and or decrease in their share and it is difficult to predict the price of the cryptocurrency. In this project, a machine learning model is built to predict the price of the cryptocurrency. The application of data science process is applied for getting a better model for predicting the outcome. Variable identification and data understanding is the main process of building a successful model. Different machine learning algorithms are applied to the pre-processed data and the accuracy is compared to see which algorithm performed better other performance metrics like precision, recall, and score are also taken into consideration for evaluating the model. The Machine learning model is used to predict the cryptocurrency outcome.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2210098

  Paper ID - 225610

  Page Number(s) - a834-a838

  Pubished in - Volume 10 | Issue 10 | October 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Preethi S,  Anushri C,  Nandhini H,  Haritha P,   "CRYPTOCURRENCY MARKET PRICE PREDICTION USING DATA SCIENCE PROCESS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 10, pp.a834-a838, October 2022, Available at :http://www.ijcrt.org/papers/IJCRT2210098.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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