In this chapter, you learned how to implement basic machine learning tasks with Weka: classification, regression, and clustering. We briefly discussed the attribute selection process and trained models and evaluated their performance.
The next chapter will focus on how to apply these techniques to solving real-life problems, such as customer retention.
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