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Data must be prepared before machine learning algorithms can be applied. Furthermore, applying an algorithm follows a specific cycle, which we will review here. The MLBase package will be used in this section.
• We will highlight some data-preprocessing techniques
• We will walk through a typical algorithm application cycle
• We will discuss some techniques to validate how well a model performs
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