Combating Fraudulent Financial Technologies with Machine Learning

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Combating Fraudulent Financial Technologies with Machine Learning

The objective of this project is to explore whether high-frequency app data and applied machine learning techniques can be leveraged to create a system for flagging and reporting highly suspect apps.

  • Use cases, geography and tags
  • Organizations that created, adopted or are mentioned
  • Ecosystem position
  • Link to the original asset
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