ML Workflow and Data Preparation

In this lesson, we will learn the main workflow stages of a Machine Learning project and the data preparation process. Business problem, data collection, data cleaning, feature-target separation, train/test split, and preparing data for ML will be explained. ## Lesson objective In this lesson, we will learn ML Workflow and Data Preparation. In the previous lesson, we learned what Machine Learning is and covered the concepts of model, feature, target, training data, prediction, regression, classification, and unsupervised learning. Now we will understand step by step how a real ML project is handled. A Machine Learning project is not only about choosing a model.