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Machine learning the hard way -- a story about ponies

Summary

Before you dive into a machine learning project, learn from the mistakes that I made while building a prediction engine for betting on horse races. In this introductory talk, learn about common data science tasks like data munging, pre-processing, classification, regression, and interpreting results.

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