Chapter 2

Data Science Process

Abstract

Successfully uncovering patterns using data science is an iterative process. This chapter provides a framework to solve a data science problem. The five-step process outlined in this chapter provides guidelines on gathering subject matter expertise; exploring the data with statistics and visualization; building a model using data science algorithms; testing the model and deploying it in a production environment; and finally reflecting on new knowledge gained in the cycle. Over the years of evolution of data mining and data science practices, different frameworks have been put forward by various academic and commercial bodies, like the Cross Industry Standard Process for Data Mining, knowledge discovery in ...

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