Supervised machine learning and performance evaluation

Learn how machines can use data to make predictions and support decision-making. This course introduces the fundamentals of supervised machine learning, one of the most widely used approaches in artificial intelligence. You will explore how models are trained using labelled data, how predictions are generated, and how machine learning techniques can be applied to solve real-world classification and regression problems. 

What you will learn:

• Fundamental concepts of supervised machine learning.  
• Techniques for training and evaluating predictive models.  
• Classification and regression methods for different types of data.  
• Approaches to feature selection and data preparation.  
• Performance metrics used to assess machine learning models.  
• Applications of supervised learning in business, healthcare, finance, and other domains. 

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