The Data Science Lab Data Prep for Machine Learning: Outliers After previously detailing how to examine data files and how to identify and deal with missing data, Dr. James McCaffrey of Microsoft ...

The ultimate purpose for data is to drive decisions. But data isn’t as reliable or accurate as we want to believe. This leads to a most undesirable result: Bad data means bad decisions. As a data ...

As a product manager, I have worked closely with data engineering teams and witnessed the fantastic ways to transform raw web data into insights, products, data models, and more. Data cleaning ...

Imagine this: you’ve just received a dataset for an urgent project. At first glance, it’s a mess—duplicate entries, missing values, inconsistent formats, and columns that don’t make sense. You know ...

Data cleansing is a process by which a computer program detects, records, and corrects inconsistencies and errors within a collection of data. Image: freshidea/Adobe Stock Data is at the foundation of ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...