https://github.com/salman-khan-mohammed/g-research-crypto-forecasting-project
This project focuses on forecasting cryptocurrency prices to aid in investment decisions, risk management, and market understanding. It aims to enhance predictive models for digital asset markets, providing more reliable insights for investors and traders.
https://github.com/salman-khan-mohammed/g-research-crypto-forecasting-project
adaboost azure cat-boost-algorithm cryptocurrency deployment gradient-boosting linerregression machine-learning-algorithms random visualization
Last synced: 2 months ago
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This project focuses on forecasting cryptocurrency prices to aid in investment decisions, risk management, and market understanding. It aims to enhance predictive models for digital asset markets, providing more reliable insights for investors and traders.
- Host: GitHub
- URL: https://github.com/salman-khan-mohammed/g-research-crypto-forecasting-project
- Owner: Salman-Khan-Mohammed
- Created: 2023-10-20T03:18:04.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-12-15T08:14:54.000Z (over 1 year ago)
- Last Synced: 2025-01-31T00:19:40.805Z (4 months ago)
- Topics: adaboost, azure, cat-boost-algorithm, cryptocurrency, deployment, gradient-boosting, linerregression, machine-learning-algorithms, random, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 1.85 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# G-Research-Crypto-Forecasting-Project
Cryptocurrency forecasting aims to predict the future price movements of digital assets such
as Bitcoin, Ethereum, and others. These forecasts are essential for making informed
investment decisions, managing risks, and understanding the underlying dynamics of the
cryptocurrency market.
This project will be enhancing the sophistication and effectiveness of predictive models for cryptocurrency markets, contributing to more reliable and actionable insights for investors, traders, and all participants in the cryptocurrency ecosystem.