Machine learning process diagram
This diagram shows the general machine learning modeling
process:
- Datasets: Import your data and save it in an accessible format for further processing.
- Quests: Prepare the data, apply an algorithm, train the model, and evaluate the model. Deploy the model to acquire predictions.
- Endpoints: View and test the deployed models.