R Project Template with the Iris Dataset
Working through machine learning problems from end-to-end requires a structured modeling approach. Working problems through a project template can encourage you to think about the problem more critically, to challenge your assumptions, and to get good at all parts of a modeling project.
Any predictive modeling machine learning project can be broken down into about six common tasks:
- Define Problem
- Summarize Data
- Prepare Data
- Evaluate Algorithms
- Improve Accuracy or Results
- Finalize Model and Present Results
The HTML formatted report can be found here.