Scénarios Métiers

Contexte :
A pharmaceutical company is analyzing data from a large-scale clinical trial (500,000 patients) for a new drug. They need to understand how different dosage levels (50mg, 100mg, 150mg) affect patie...

Contexte :
A utility company uses a model to predict power grid failures. The model is trained on a complete dataset. However, the real-time scoring data sometimes contains missing sensor readings. The test m...

Contexte :
A financial services company wants to predict which customers are likely to respond to a new loan offer. The goal is to build a reliable classification model using customer demographics and histori...

Contexte :
A credit card company needs to process a very large dataset of transactions to build a fraud detection model. Due to the data volume and urgency, the model training must be efficient. This scenario...

Contexte :
A pharmaceutical research company is analyzing patient data from a clinical trial to predict patient recovery. The dataset is incomplete, with missing values for a key biomarker and patient-reporte...