Agile Development for Data Scientists, Part 1: The Good
Linear Digressions
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Agile Methodology in Data Science
This chapter discusses the Agile development methodology and its advantages for data science, highlighting its iterative approach compared to Waterfall. It emphasizes breaking projects into smaller segments for better adaptability and the importance of setting clear goals to maintain productivity.
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Transcript


