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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 version 3.x of DataRobot's Python client.

Topic Describes...
Use cases for version 2.x Notebooks for uses cases that use methods for 2.x versions of DataRobot's Python client.
Identify money laundering with anomaly detection How to use a historical financial transaction dataset and train models that detect instances of money laundering.
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.
Insurance claim triage How to evaluate the severity of an insurance claim in order to triage it effectively.
Predict loan defaults A use case that reduces defaults and minimizes risk by predicting the likelihood that a borrower will not repay their loan.
No-show appointment forecasting How to build a model that identifies patients most likely to miss appointments, with correlating reasons.
Predict late shipments A use case that determines whether a shipment will be late or if there will be a shortage of parts.
Reduce 30-Day readmissions rate How to reduce the 30-day readmission rate at a hospital.
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.
Predict customer churn How to predict customers that are at risk to churn and when to intervene to prevent it.
Large scale demand forecasting An end-to-end demand forecasting use case that uses DataRobot's Python package.
Predictions for fantasy baseball An estimate of a baseball player's true talent level and their likely performance for the coming season.
Lead scoring A binary classification problem of whether a prospect will become a customer.
Forecast sales with multiseries modeling How to forecast future sales for multiple stores using multiseries modeling.
Identify money laundering with anomaly detection How to train anomaly detection models to detect outliers.
Predict CO₂ levels with out-of-time validation modeling 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.
Predict equipment failure A use case that that determines whether or not equipment part failure will occur.
Predict fraudulent medical claims The identification of fraudulent medical claims using the DataRobot Python package.
Generate SHAP-based Prediction Explanations How to use DataRobot's SHAP Prediction Explanations to determine what qualities of a home drive sale value.
Updated February 3, 2023
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