The 10 rules of reliable data science

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The 10 Rules of Reliable Data Science From alchemy to engineering in exploratory data workflows hello@drivendata.co | www.drivendata.co The 10 Rules of Reliable Data Science Introduction: The problem with data science work practices 2 Rule 1: Start organized, stay organized 6 Rule 2: Everything comes from somewhere and the raw data is immutable 8 Rule 3: Version control is basic professionalism 9 Rule 4: Notebooks are for exploration, source files are…

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