Name: Code%20Quality%20in%20Data%20Science
Uploaded: 2022-07-12

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You hear a lot of advice on applying code craft paradigms to Machine Learning, but what exactly do you need to do? 

In this presentation, Laszlo introduces a minimal set of techniques that will help remove technical debt and make it more productive. Laszlo talks about: Clean Architecture, Design Patterns, Code Smells, Refactoring, Code Readability, and how these come together in a Data Science project.

Code Quality in Data Science

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