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