An implementation of bitcoin price prediction using LSTM, RNN, and Neural Prophet.

* 5 years of Bitcoin price dataset collect from Yahoo Finance
* Long Short-Term Memory (LSTM) / Recurrent Neural Network (RNN)
* Neural Prophet

* Collect from Yahoo Finance (https://finance.yahoo.com/)
* Range from the 15th of May 2018 until 14th of May 2023 (5 Years)
* 1827 rows of data
* Close price as a Target Variable * 80%(4 years) for training, 20% for testing (1 year)

* Python 3.10
* Jupyter notebook 6.4.5

* Pandas
* Numpy
* matplotlib
* Scikit-learn
* TensorFlow
* NeuralProphet
* Sklearn.metrics

LSTM Result

RNN Result

Neural Prophet Result