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An Ensemble/Multi-modal Machine Learning Approach for Cryptocurrency Time Series Forecasting

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MSc-Thesis

An Ensemble/Multi-modal Machine Learning Approach for Cryptocurrency Time Series Forecasting

This is the repo contains a machine learning model used to predict cryptocurrency prices using multi-modal approach. The model will use data from newspaper articles, social media post and cryptocurrency prices to achieve its result.

The full dataset will be available on Kaggle after developing the model.

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An Ensemble/Multi-modal Machine Learning Approach for Cryptocurrency Time Series Forecasting

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