Getting started

The best way to get started is by understanding the bigger picture—gauging the magnitude of the work ahead of us. In this sense, we have identified two broad tasks:

• Setting up the prerequisite software.
• Developing two pipelines, starting with data collection and building a workflow sequence that could end with predictions. Those pipelines are as follows:
• A Random Forests pipeline
• A logistical regression pipeline

We will talk about setting up the prerequisite software in the next section.

Setting up prerequisite software

First, please refer back to the Setting up the prerequisite software section in Chapter 1, Predict the Class of a Flower from the Iris Dataset, to review your existing infrastructure...