Lecture

Predicting Bitcoin's Price with ML and Twitter Inputs

In course

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Description

This lecture presents a Bachelor's project where the authors predict Bitcoin's price fluctuations using Twitter inputs and Machine Learning. The three main steps involve data gathering, ML modeling, and predicting price changes, achieving a 60% prediction accuracy.

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Official source

https://mediaspace.epfl.ch/media/0_rqr135qn

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Ontological neighbourhood

Information engineering

Data science: Topics in data science

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