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This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

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Time-series forecasting of Bitcoin prices

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach" with doi:10.1007/s00521-020-05129-6

Models considered:

  1. LSTM
  2. SVM
  3. SANN
  4. ANN

Feature selection process is based on Pearson correlation, random forest, and variance inflation factor.

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This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

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  • Jupyter Notebook 98.7%
  • Python 1.3%