“In chronological order, here are the main steps. Sometimes it is necessary to recognize errors in the process and move back and start again at an earlier step. This is by no mean a linear process, but more like trial and error experimentation.
- Defining the proble
- Defining goals
- Collecting the data.
- Exploratory data analysis.
- The true machine learning / modeling step.
- Creation of end-user platform.
- Maintenance.”
https://www.datasciencecentral.com/profiles/blogs/the-machine-learning-process