There are distinct phases or steps that has been carried out to build a complete machine learning model. The sequence of the phases or steps can be defined as a Machine Learning Workflow.

A brief of Machine Learning

Machine Learning is a apparatus for turning information into knowledge. Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.

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Machine Learning Workflow

• Specifying Problem
• Data Preparation
• Selection of Algorithm
• Training the Model
• Testing the Model.

1. Ask the right question: ML workflow starts with defining a specific question or problem with defined boundary. The right question will lead you to know about data and its preparation, identifying algorithm, testing model and overall outcome of…