Iteration 1
In your first iteration, you will go through the complete machine-learning workflow as quickly as possible.
The goal is not to build the best possible models yet. Instead, you will experience the complete workflow, build your first working models, and understand how the different parts of the process fit together.
This iteration is highly guided. In later iterations, you will revisit these steps in greater depth and make increasingly more decisions yourself.
Your first ML cycle
You will use starter_dataset.xlsx to build your first:
- classification model
- regression model
- clustering model
At this stage, keep things simple. Focus on getting from data to working models rather than optimizing performance.
Complete the pages and notebooks
Work through the following pages in order:
Once you have completed all three notebooks, you have finished your first machine-learning cycle.
In Iteration 2, you will revisit the workflow in greater depth.