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. |
| 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. |
| 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. |
| 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. |
| 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 SHAP Prediction Explanations to determine what qualities of a home drive sale value. |