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
