We began this book with an introduction to the data science process in Part 1. Then in Part 2, we saw the various classes of problems that could be relevant to your business and how the data science process is applied in each of those cases. In Part 3, we looked at the various techniques and technologies that go into executing each step of the data science process, culminating in a reference architecture that can be tailored to your specific team. And in the last ...
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
V. Raina, S. KrishnamurthyBuilding an Effective Data Science Practicehttps://doi.org/10.1007/978-1-4842-7419-4_2323. Data Science Projects
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