The accelerator provided in this notebook trains a model on historical customer purchases in order to make recommendations for future visits. The DataRobot features that will be utilized in this notebook are Multi-Label modelling and feature discovery. Together the resulting model can provide rank ordered suggestions of content, product, or services that a specific customer might like.
In the notebook, you will:
- Analyze the datasets required
- Create a multi-label dataset for training
- Connect to DataRobot
- Configure a feature discovery project
- Generate features and models
- Generate recommendations for new visits