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DataRobot API resources > API user guide > Common use cases

Common use cases

Review Jupyter notebooks that outline common use cases and machine learning workflows using DataRobot's Python client.

Topic Describes...
Large scale demand forecasting Learn about an end-to-end demand forecasting use case that uses DataRobot's Python package.
Predict loan defaults Reduce defaults and minimize risk by predicting the likelihood that a borrower will not repay their loan.
Predict late shipments Whether a shipment will be late or if there will be a shortage of parts.
Predict steel plate defects A use case that helps manufacturers significantly improve the efficiency and effectiveness of identifying defects of all kinds, including those for steel sheets.
Reduce 30-Day readmissions rate A use case to reduce the 30-day readmission rate at a hospital.
Identify money laundering with anomaly detection Use a historical money transactions dataset and train models that detect instances of money laundering.
No-show appointment forecasting Build a model that identifies patients most likely to miss appointments, with correlating reasons.
Measure price elasticity of demand A use case to identify relationships between price and demand, maximize revenue by properly pricing products, and monitor price elasticities for changes in price and demand.
Predict equipment failure Predict whether equipment part failure will occur. By leveraging DataRobot’s collected data via sensors, your model can signal a maintenance crew when an impending issue is likely to occur.
Lead scoring Whether a prospect will become a customer. You can frame this use case as a binary classification problem.
Predict fraudulent medical claims The identification of fraudulent medical claims using the DataRobot Python package.
Predict CO₂ levels with out-of-time validation modeling Learn how to use out-of-time validation (OTV) modeling with DataRobot's Python client to predict monthly CO₂ levels for one of Hawaii's active volcanoes, Mauna Loa.
Forecast sales with multiseries modeling Forecast future sales for multiple stores using multiseries modeling.
Predictions for fantasy baseball An estimate of a baseball player's true talent level and their likely performance for the coming season.
Updated September 14, 2022
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