
Python is currently the most widely used programming language in the fields of machine learning, deep learning and AI. In-depth technical knowledge of machine learning python libraries is thus an indispensable part of the data scientist toolkit from beginner to expert level. This talk will cover three essential python packages that encompass a wide range of analytical methods. For each package, it will tackle the ‘What it does?’, the implemented methodologies, a code exercise and links to useful resources. Three additional tools will be covered as honorable mentions given their novelty and usefulness in stakeholder engagement.
iPython notebooks and the dataset in a public Github repo which can be found here: https://github.com/miguelmspereira/DSF_Summer_School.git
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