Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

Spread the loveOutliers are data points that significantly differ from the rest of the data, and detecting them is crucial in many fields such as finance, sociology, and medicine. In this article, ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks.

This video shows hot to find outliers in data by using AutoEncoders. This approach relies on reconstruction errors calculated by AutoEncoders which can be trained in your Jupyter Notebook with Python ...

If you’re wondering how to find the variance in your data set, look no further. Here’s how to calculate variance in a snap with Pandas.

Jupyter notebook to apply UMAP to a demonstrate data set with ~ 80 dimensions and find outliers The approach is to map to 3 dimensions then fit the point cloud to a 3D ellipsoid Once the ellipsoid is ...

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 ...