Data Science 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. 

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.

Richmond Alake

Updated on May 22, 2025

Cosine similarity measures the similarity between two non-zero vectors by calculating the cosine of the angle between them. Here's the basics behind cosine similarity and how it is used across different areas of machine learning.

Frank Andrade

Updated on May 22, 2025

Take string formatting to the next level in Python using f-strings. They provide a better way to format strings and make debugging easier, too.

Tirthajyoti Sarkar

Updated on May 22, 2025

Benford’s Law states that digits with smaller values are more likely to be the lead digit in a data set than digits with larger values. Here’s when to use the law, when not to use it and why it matters.

Abdishakur Hassan

Updated on May 22, 2025

Statistical analysis is the process of collecting and analyzing data using statistical methods to uncover trends, develop meaningful data insights and tell quantitative stories.