Navigating the Crypto RollerCoaster: Predictions for BITCOINS Path

  • Unique Paper ID: 167265
  • PageNo: 685-692
  • Abstract:
  • In this project we are using Subspace Learning Algorithm called Supervised Principal Coefficients Embedding (SPCE) to reduce high dimension data into low dimension. In machine learning all algorithms get trained on past datasets and this dataset often contains irrelevant (unimportant) features and this features will be removed by applying SPCE algorithm. SPCE algorithm will find coefficients or fitness or each attribute by calculating accuracy and whatever features gave high accuracy will be selected and remaining attributes will be remove out. In this project we are using Blockchain technology to store BITCOIN historic price data. This data will be retrieved by machine learning algorithms such as Logistic Regression, Support Vector Machine and ARIMA. This algorithms will get trained on this data and then predict future price of Bitcoin.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{167265,
        author = {Singireddy Deekshitha and N.Naveen Kumar},
        title = {Navigating the Crypto RollerCoaster: Predictions for BITCOINS Path},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {3},
        pages = {685-692},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=167265},
        abstract = {In this project we are using Subspace Learning Algorithm called Supervised Principal Coefficients Embedding (SPCE) to reduce high dimension data into low dimension. In machine learning all algorithms get trained on past datasets and this dataset often contains irrelevant (unimportant) features and this features will be removed by applying SPCE algorithm. SPCE algorithm will find coefficients or fitness or each attribute by calculating accuracy and whatever features gave high accuracy will be selected and remaining attributes will be remove out. In this project we are using Blockchain technology to store BITCOIN historic price data. This data will be retrieved by machine learning algorithms such as Logistic Regression, Support Vector Machine and ARIMA. This algorithms will get trained on this data and then predict future price of Bitcoin.},
        keywords = {Supervised Principal Coefficients Embedding (SPCE), machine learning algorithms, Logistic Regression, Support Vector Machine and ARIMA.},
        month = {August},
        }

Cite This Article

Deekshitha, S., & Kumar, N. (2024). Navigating the Crypto RollerCoaster: Predictions for BITCOINS Path. International Journal of Innovative Research in Technology (IJIRT), 11(3), 685–692.

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