Introduction In this case study, we are going to explore the processes involved in a typical data mining task. When building a predictive model, there are some common problems you are likely to meet in your data - problems such as missing values, imbalanced classes, un-informative attributes and so on. Here we shall look at some proven techniques for dealing with such problems and many other important guidelines.
We shall make an attempt to understand some functions that can make your life easier when working on projects in r
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