This book is a practical guide to spotting the parts of a dataset that deviate from the norm, even when they're hidden or intertwined among the expected data points. Brett Kennedy explains how outlier ...

IntroductionSo far, we have covered graphing CSVs, aggregating survey results, and cleaning up missing values. The next thing ...

This comprehensive tutorial provides a step by step guide to performing exploratory data analysis on complex datasets using Python Pandas, Seaborn, and Matplotlib. Learn how to inspect data structures ...

In my last few articles, I've looked at a number of ways machine learning can help make predictions. The basic idea is that you create a model using existing data and then ask that model to predict an ...

After previously detailing how to examine data files and how to identify and deal with missing data, Dr. James McCaffrey of Microsoft Research now uses a full code sample and step-by-step directions ...