This project leverages Long Short-Term Memory (LSTM) neural networks to predict Bitcoin prices. By applying deep learning techniques, we aim to provide valuable insights for investors, financial analysts, and cryptocurrency enthusiasts.
An initial dashboard before any analysis
- Dashboard Bitcoin
- Exploratory Data Analysis (EDA): Visualization of trends, patterns, and outliers in the historical data of Bitcoin.
- Data Preparation: Cleaning and normalization of data for model training.
- LSTM Modeling: Construction and training of an LSTM model for price prediction.
- Model Evaluation: Performance metrics including MAE, MSE, RMSE, and R².