Expert Contributors Articles

Parul Pandey

Updated on May 22, 2025

Pandas DataFrames can be sorted by column, index, multiple columns and more. This tutorial introduces you to the basics.

Peter Grant

Updated on May 22, 2025

In Python, floats are a common data type that lets users work with decimal numbers, covering a wider range of values than integers. Check out this quick tutorial on how to make and use floats in Python.

Zolzaya Luvsandorj

Updated on May 22, 2025

Propensity score matching is a causal inference technique that attempts to balance treatment groups on confounding factors, so researchers can gauge the treatment’s causal impact on the outcome. Here are the steps to conduct propensity score matching.

Andrew Plummer

Updated on May 22, 2025

Box-Cox transformation is a statistical technique that transforms your target variable so that it resembles a normal distribution. Here’s how to implement it in Python.

Perez Ogayo

Updated on May 22, 2025

A CUDA Error: Device-Side Assert Triggered can either be caused by an inconsistency between the number of labels and output units in a model or an incorrect input for a loss function. Follow this guide to fix it. 

Muriel Kosaka

Updated on May 22, 2025

Python generator functions allow you to declare a function that behaves like an iterator. It uses the yield keyword to produce values one at a time and only executes when next() is called.

Artem Oppermann

Updated on May 22, 2025

An EMP (electromagnetic pulse) is an intense burst of electromagnetic energy, usually caused by an abrupt acceleration of charged particles.

Megan McNamara

Updated on May 22, 2025

Employee relations refers to an organization’s efforts to sustain positive, constructive relationships with its employees. Here’s why employee relations is important and how to craft an employee relations strategy.

Max Reynolds

Updated on May 22, 2025

SQL uses various data types for handling alphanumeric characters, numeric values and date and time values. Here are some of the main SQL data types to know and when to use them.

Alexandre Zajic

Updated on May 22, 2025

Akaike Information Criterion (AIC) is a metric with a single number score that measures which machine learning model is best for a given data set, in comparison to other models for the same set. Here’s what you need to know.