Predicting Cryptocurrency Using AI
This Omdena Local Chapter Challenge runs for 4 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world.
You will work on solving a local problem, initiated by Bahrain Chapter.
The problem
Bitcoin is highly volatile, with a 7-year daily return rate standard deviation of 3.85%. Given the extremes in price fluctuations, the function of cryptocurrencies as a valuable commodity and a method of transaction has been criticized. Time series prediction models can help explore data variables that contribute to the behavior and risk assessment of peer-to-peer electronic payment systems.
The goals
To develop and compare algorithmic models with high prediction accuracy for determining the value of cryptocurrencies and explaining variables that influence the price.
Why join? The uniqueness of Omdena Local Chapter Challenges
Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.
A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.
And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.
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