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DS Building Blocks - Regression vs. Classification

DareData

Some examples of things you may have seen being juggled during a data science discussion: correlation, causality, regression, classification, neural networks, decision trees, among others. Everything that only fits a certain amount of categories will, probably, be solved using a classification algorithm. Don't leave so early.

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DS Building Blocks - A quick guide on experimentation for Non-Technical Users

DareData

A data science project should have a diverse team and it is completely normal that some of the stakeholders are not completely familiar with some DS concepts that are key to the project success. welcome to the Basic DS Concepts series! If you were to build a prescriptive analysis based on this, that would be completely off the target.