This checklist can guide you through your Machine Learning projects. There are eight main steps:
- Frame the problem and look at the big picture.
- Get the data.
- Explore the data to gain insights.
- Prepare the data to better expose the underlying data patterns to Machine Learning algorithms.
- Explore many different models and shortlist the best ones.
- Fine-tune your models and combine them into a great solution.