🔍 Participants will tackle energy fraud by building machine learning models.  

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💡 They will analyze datasets to identify anomalies in energy consumption.  

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🌍 The event is open to teams from all countries, promoting global collaboration.  

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🏆 Participants can earn swag and certifications for their submissions.  

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📊 The competition emphasizes accuracy in predictions using the Area Under the Curve metric.