This repository contains a project on time series forecasting aimed at forecasting the price of the Bitcoin stock. The project leverages machine learning and deep learning techniques using TensorFlow to analyze historical Bitcoin stock data and generate future price predictions. The project is implemented on Google Colab for efficient computation and easy accessibility.
- Data Source: Historical Bitcoin stock data from CoinDesk
- Deep Learning Framework: TensorFlow
- Models Type: Machine Learning, specifically Deep Learning
- Goal: Forecasting future Bitcoin prices
- Environment: Google Colab for development and execution
- Data: Bitcoin stock data in CSV format
- Notebooks: Google Colab notebook detailing the data preprocessing, model training, evaluation, visualisation and prediction (forecasting) processes
- Results: Visualizations and performance metrics of the trained models
- Clone the repository.
git clone! https://github.com/IsraelAzoulay/BTC-Price-Predictor.git
-
Open the provided Google Colab notebooks.
-
Feel free to customize the models/code for your own experiments.
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.