Details

🔍 Participants will tackle energy fraud by building machine learning models.   💡 They will analyze datasets to identify anomalies in energy consumption.   🌍 The event is open to teams from all countries, promoting global collaboration.   🏆 Participants can earn swag and certifications for their submissions.   📊 The competition emphasizes accuracy in predictions using the Area Under the Curve metric.