Many of us, in our first steps of our data science career, came across terms like classification, decision trees, segmentation, naive Bayes and so many more that sometimes we get confused as to what each one of them means and what they have to do with data mining.
The purpose of this blog series is to explain what data mining covers, what business problems we can solve with it, what sort of methodologies to employ and other aspects that govern data mining projects such as how do we evaluate a data mining work, how do we manage data mining project and more. It is mainly addressed to our junior members and those who aspire to become data scientists with the aim of helping them get a better understanding of the tools and techniques they are using.
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