International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Bitcoin Price Prediction Using Machine Learning |
|---|---|
| ABSTRACT | Among all digital assets, Bitcoin remains the most prominent cryptocurrency, yet its remarkable price volatility renders accurate forecasting a significant challenge. This study introduces a Bitcoin Price Prediction System that harnesses historical market data through a suite of machine learning algorithms. The research encompasses key phases including data preprocessing, exploratory analysis, and systematic feature engineering, followed by the implementation and comparison of three predictive models: Linear Regression, Random Forest, and Long Short-Term Memory (LSTM) networks. Model effectiveness is assessed through standard regression metrics encompassing Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and the R-squared (R²) coefficient. The final system is presented through an interactive web interface developed with Streamlit. Results confirm that machine learning methods consistently outperform conventional statistical approaches and hold substantial promise for guiding investment decisions within cryptocurrency markets. |
| AUTHOR | DR. AZIZKHAN F PATHAN, KEERTHI M RAO, KEERTHISHREE B M, ASHA M ANGADI, GAYATRI KHM HOD & Associate Professor, Dept. of AI&ML, Jain Institute of Technology, Davangere, Karnataka, India UG Students, Dept. of ISE, Jain Institute of Technology, Davangere, Karnataka, India |
| VOLUME | 184 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1405089 |
| pdf/89_Bitcoin Price Prediction Using Machine Learning.pdf | |
| KEYWORDS | |
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