The workshop will focus on the creation, deployment, monitoring and management of a machine learning model for performing customer segmentation.
The workshop will cover:
– Exploring a subset of an e-commerce dataset detailing actual purchases from ~4000 customers over a period of one year
– Training several models on a pre-processed dataset
– Deploying trained model artefacts with Seldon Deploy
– Training an anchor tabular model and an outlier detector from Seldon Alibi
– Updating Seldon Deployments with explainers and outlier detector