Claire, the Learning Outcomes Analyst at MDFT Pro, is evaluating different machine learning approaches for various predictive analytics projects across the company’s educational programs. MDFT Pro, a well-known training agency, needs to implement different types of models including systems that categorize students into skill levels (beginner, intermediate, advanced), predict enrollment numbers over the coming months, and forecast seasonal demand patterns for different certification programs. Claire needs to understand which machine learning techniques are appropriate for predicting categorical outcomes versus time-based sequential numerical data.
Can classification techniques be used to predict sequential numerical data that changes over time?
Choose the correct answer from the options below.
Explanations for each answer: