
Description
Cryptocurrencies have become one of the most fascinating forms of currency and economics due to their fluctuating values and lack of centralization. This project attempts to use machine learning methods to effectively model in-sample data for Bitcoin and Ethereum using rule induction methods. The dataset is cleaned by removing entries with missing data.
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Details
Contributors
- Browning, Jacob Christian (Author)
- Meuth, Ryan (Thesis director)
- Jones, Donald (Committee member)
- McCulloch, Robert (Committee member)
- Computer Science and Engineering Program (Contributor)
- School of Mathematical and Statistical Sciences (Contributor)
- Barrett, The Honors College (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2018-05
Resource Type
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