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Overview


Original Research

CRYPTO CURRENCY MARKET PRICE PREDICTION USING DATA SCIENCE TECHNIQUE

ARIVUNIDHI. A 1, M. RITU RAJU 2, R. B. BALAJI KAMAL 3, and N. MUTHURASU 4.

Vol 18, No 01 ( 2023 )   |  DOI: 10.17605/OSF.IO/ZY3A5   |   Author Affiliation: Department of Computer Science & Engineering, SRMIST, Vadapalani, Chennai, India 1,2,3; Assistant Professor, SRM University of Science and Technology, Vadapalani, Chennai 4.   |   Licensing: CC 4.0   |   Pg no: 2351-2358   |   Published on: 31-01-2023

Abstract

“Cryptocurrency is a sort of digital currency that is distinguished by the fact that records of coin ownership are kept in a ledger that takes the form of a computerised database. Strong cryptography is utilised in order to protect transaction records, regulate the production of extra coins, and validate the sale or transfer of currency ownership. Cryptocurrency is a form of digital currency. Furthermore, due to its volatile value, the price of cryptocurrency is hard to forecast. A model based on machine learning is being developed for the purpose of predicting the price of the cryptocurrency as part of this project. The process of data science is applied in order to obtain a more accurate model for predicting the outcome of the experiment. The primary steps in developing a reliable model are determining the relevant variables and gaining an understanding of the data. Not only is accuracy considered, but also other performance indicators like precision, recall, and score, when assessing the model's worth. These metrics are applied to the data after it has been preprocessed and a comparison is made to determine which machine learning algorithm performed the best. In order to forecast the outcome of the cryptocurrency, a machine learning model is utilised.”


Keywords

Crypto, RainForest, CNN, Machine Learning, Deep Learning, etc.