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This notebook focuses on these two aspects below, mainly for the writer's self-learning purpose:
- Data cleaning and analysis with Python libraries and Bitcoin price prediction by deep learning algorithm called LSTM with Keras
- Interactive Data visualizations with Plotly
Data Visualization with Plotly,
- a Kaggle post by DATAI and Plotly official document.
Price Prediction with LSTM by Keras,
- a jupyter notebook which explained an applicaiton of deep learning to Bitcoin/Etherium price prediction by a data scientist David Sheeran.
- Predicting the price of Bitcoin using Machine Learning by Sean McNally
- WHY MIGHT SHARE PRICES FOLLOW A RANDOM WALK? by SAMUEL DUPERNEX