Abstract
"All work and no play" is a well-known proverb and we certainly do not want to be dull. So far, we have covered the theoretical concepts, frameworks, workflows, and tools required to solve Data Science problems. The use case driven theme begins with this chapter. In this section of the book, we cover a wide range of Machine Learning/Data Science concepts through real life use cases. Through this and coming chapters, we will discuss and apply concepts learned so far to solve some exciting real-world problems.
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© 2018 Dipanjan Sarkar, Raghav Bali and Tushar Sharma
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Sarkar, D., Bali, R., Sharma, T. (2018). Analyzing Bike Sharing Trends. In: Practical Machine Learning with Python. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3207-1_6
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DOI: https://doi.org/10.1007/978-1-4842-3207-1_6
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3206-4
Online ISBN: 978-1-4842-3207-1
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