Facial Emotion Detection Problem Definition The context: Why is this problem important to solve? The objectives: What is the intended goal? The key questions: What are the key questions that need to be answered? The problem formulation: What are we trying to solve using data science? About the dataset The data set consists of 3 folders, i.e., 'test', 'train', and 'validation'. Each of these folders has four subfolders: 'happy': Images of people who have happy facial expressions. 'sad': Images of people with sad or upset facial expressions. 'surprise': Images of people who have shocked or surprised facial expressions. 'neutral': Images of people showing no prominent emotion in their facial expression at all. Important Notes This notebook can be considered a guide to refer to while solving the problem. The evaluation will be as per the Rubric shared for each Milestone. Unlike previous courses, it does not follow the pattern of the graded questions in different sections. This notebook would give you a direction on what steps need to be taken to get a feasible solution to the problem. Please note that this is just one way of doing this. There can be other 'creative' ways to solve the problem, and