The machine learning process flow determines which steps are included in a machine learning project. Data gathering, pre-processing, constructing datasets, model training and improvement, evaluation, and deployment to production are examples of typical steps. Some steps in the machine learning process flow, such as the model and feature selection phases,

Workflow automation refers to using rule-based logic to start a sequence of operations that can run independently without human involvement. Automated processes can send emails, establish reminders, schedule activities, activate drip campaigns, and more without anyone touching a single button after necessary guidelines and logic are established. What is workflow