> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/sdgm/examples/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/sdgm/_mcp/server.

# Code Examples

## Docs

- [Notebooks](https://docs.nvidia.com/sdgm/examples/platform-notebooks.md): Notebook examples for Kumo Predict Platform
- [Predictive Query](https://docs.nvidia.com/sdgm/examples/predictive-query.md)
- [Business Operations](https://docs.nvidia.com/sdgm/examples/business-operations.md)
- [Demand Forecasting Solution](https://docs.nvidia.com/sdgm/examples/bizops-demand-forecast.md)
- [Shipment Delay Prediction](https://docs.nvidia.com/sdgm/examples/bizops-shipment-delay.md)
- [Entity Resolution](https://docs.nvidia.com/sdgm/examples/bizops-entity-resolution.md)
- [Fraud](https://docs.nvidia.com/sdgm/examples/fraud.md)
- [Chargeback Fraud Detection](https://docs.nvidia.com/sdgm/examples/fraud-chargeback-abuse.md)
- [Credit Card Fraud Detection Solution](https://docs.nvidia.com/sdgm/examples/fraud-credit-card.md)
- [Money Laundering Detection](https://docs.nvidia.com/sdgm/examples/fraud-money-laundering.md)
- [Payback Abuse Detection Solution](https://docs.nvidia.com/sdgm/examples/fraud-payback-abuse.md)
- [Fraud Detection Demo](https://docs.nvidia.com/sdgm/examples/fraud-detection-demo.md): Step-by-step demo for detecting fraudulent credit card transactions with Kumo
- [Growth and Marketing](https://docs.nvidia.com/sdgm/examples/growthmarketing.md): Kumo Predict Platform for growth and marketing — GNN-powered models for LTV, churn, lead scoring, and recommendations
- [Customer Churn Prediction](https://docs.nvidia.com/sdgm/examples/growth-churn.md)
- [Lead Scoring Optimization](https://docs.nvidia.com/sdgm/examples/growth-lead-scoring.md)
- [Customer Lifetime Value Prediction](https://docs.nvidia.com/sdgm/examples/growth-ltv.md)
- [Anti-Targeting Solution](https://docs.nvidia.com/sdgm/examples/growth-anti-targeting.md)
- [Best Time to Send Notification](https://docs.nvidia.com/sdgm/examples/best-time-to-send.md)
- [Feature Adoption Prediction](https://docs.nvidia.com/sdgm/examples/growth-feature-adoption.md): Predict which users will adopt new product features using a multi-label classification model trained on user telemetry data.
- [Personalization](https://docs.nvidia.com/sdgm/examples/personalization.md)
- [Buy-It-Again Recommendation](https://docs.nvidia.com/sdgm/examples/pzn-buy-it-again.md)
- [Cold Start Recommendation](https://docs.nvidia.com/sdgm/examples/pzn-cold-start.md)
- [Item-to-Item Recommendation](https://docs.nvidia.com/sdgm/examples/pzn-related-items.md)
- [Search Recommendations](https://docs.nvidia.com/sdgm/examples/pzn-search-browse-reranking.md)
- [Personalized Email Recommendations](https://docs.nvidia.com/sdgm/examples/pzn-email-recommendations.md)
- [Hybrid Graph Neural Networks](https://docs.nvidia.com/sdgm/examples/pzn-hybrid-graph-neural-networks.md): Why Recommendation Systems are Better Off Using Hybrid Graph Neural Networks
- [Try Something New](https://docs.nvidia.com/sdgm/examples/pzn-try-something-new.md)