Model Training and Deployment - Iris Dataset

This topic uses Cloudera Data Science Workbench's built-in Python template project to walk you through an end-to-end example where we use experiments to develop and train a model, and then deploy it using Cloudera Data Science Workbench.

This example uses the canonical Iris dataset from Fisher and Anderson to build a model that predicts the width of a flower’s petal based on the petal's length.