As we saw in the previous chapter, data collection, preparation, and normalization is one of the primary steps in any machine learning experiment. Almost all of the machine learning algorithms (there are some interesting exceptions though) work with vectors of numbers. Even the other algorithms or tools would require data to be formatted in a specific way. So regardless of the kind of original data you are working with, you ...
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