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Machine Learning and Deep learning-based time series forecasting of Bitcoin stock prices using TensorFlow

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IsraelAzoulay/BTC-Price-Predictor

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BTC-Price-Predictor

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.

Key Features

  • 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

Repository Contents

  • 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

Getting Started

  1. Clone the repository.
  2. Open the provided Google Colab notebooks.
  3. Feel free to customize the models/code for your own experiments.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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