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"
I found your manuscript for this repository to be really interesting - thanks for publishing! I'm now trying to independently recreate the results to better understand how LSTM and Keras work within Python.
It appears that a small fix for datacollector.py is required for scraping from bitinfocharts.com due to changes on the remote side. Line 100 should now be values=soup.find_all('script')[4].string when using Python 3.8 and BS4 >=4.9.3.
Hi,
I found your manuscript for this repository to be really interesting - thanks for publishing! I'm now trying to independently recreate the results to better understand how LSTM and Keras work within Python.
It appears that a small fix for datacollector.py is required for scraping from bitinfocharts.com due to changes on the remote side. Line 100 should now be
values=soup.find_all('script')[4].string
when using Python 3.8 and BS4 >=4.9.3.Thanks, J.