The Legend of Data - Ep.11 - Decision Tree

Decision tree-based algorithms are a family of common algorithms to be used in many machine learning applications. By drawing conclusions based on the labelled data provided, it can build a decision path to give a prediction based on the different values of different features given.

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You can get the slide deck here. The notebook that I used can be found here.

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After having a career as a Data Scientist and Developer Advocate, Cheuk dedicated her work to the open-source community and working as a community manager at OpenSSF. She has co-founded Humble Data, a beginner Python workshop that has been happening around the world. She has served the EuroPython Society board for two years and is now a fellow and director of the Python Software Foundation.