March 3: Data, models, errors Questions for today How can we - PowerPoint PPT Presentation

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March 3: Data, models, errors Questions for today How can we filter a pandas data frame? Why are squared errors important, and how do they relate to the normal distribution and log likelihood? How can we predict one variable given

March 3: Data, models, errors
Questions for today • How can we filter a pandas data frame? • Why are squared errors important, and how do they relate to the normal distribution and log likelihood? • How can we predict one variable given another? What makes avocados cost more or less? • How do we compare predictive models?
Questions for today • How can we filter a pandas data frame? • Why are squared errors important, and how do they relate to the normal distribution and log likelihood? • How can we predict one variable given another? What makes avocados cost more or less? • How do we compare predictive models?
Questions for today • How can we filter a pandas data frame? • Why are squared errors important, and how do they relate to the normal distribution and log likelihood? • How can we predict one variable given another? What makes avocados cost more or less? • How do we compare predictive models?

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