ABSTRACT
Upon completing this chapter, learners should be able to:
Understand how to approach various machine learning problems.
Apply practical data preprocessing skills to address machine learning problems.
Apply classification algorithms to classify data into distinct categories and interpret the results.
Utilize regression algorithms on real-world datasets to make predictions and evaluate model performance.
Apply clustering algorithms to partition real-world data into groups based on similarity and interpret and visualize results.
Apply association rules techniques to discover relationships between items in a real-world dataset.
