Data Science Articles

Giorgos Myrianthous

Updated on May 22, 2025

Bash commands are an important part of the data scientist’s toolkit. This guide introduces you to some of the most important ones.

Barak Or

Updated on May 22, 2025

An inertial measurement unit (IMU) is a device that uses various sensors to capture data about an object’s motion, location and orientation. Here’s how IMUs work and what the pros and cons are of using them.

Edoardo Romani

Updated on May 22, 2025

Database normalization refers to organizing data into tables to improve the efficiency of a database and ensure the consistency and accuracy of its data. Here’s why it matters and the normal forms involved in the process.

Sara A. Metwalli

Updated on May 22, 2025

Data validation refers to verifying the quality and accuracy of data before using it. These are the main types of data validation, the pros and cons of the process and tips for how to perform data validation.

Peter Grant

Updated on May 22, 2025

The bias-variance tradeoff describes the inverse relationship between bias and variance, where increasing one decreases the other. Here’s how to strike a balance between the two, so a model learns enough details about a data set without picking up noise.

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.