Chapter 20: Data Science Lifecycle
This chapter introduces the data science lifecycle and best practices for applied machine learning projects.
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Chapter 20.01: The Data Science Lifecycle
We introduce the main phases of the data science lifecycle and identify essential concepts, tools, and methods for each phase.
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Chapter 20.02: ML Competition Strategy
We present a 10-step workflow for ML competitions, covering how to plan an end-to-end ML workflow with attention to constraints and dependencies.