Analytics India MagazineDecision making and storytelling are two important facets of a data scientist’s job description. Models can be tweaked and computational powers can be pumped up. But to choose a certain test or a method, will have great implications on the product lifecycle. From cost-cutting to life-saving, hypothesis testing is prevalent in the world of statistics and with the conception of statistical machine learning, the tests have been imbibed and are made more accessible with the Python’s ever increasing and improving, task-specific libraries.
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