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.