Data Science Articles

Akshay Kumar

Updated on May 22, 2025

Base64 is a binary-to-text encoding scheme that represents binary data in an ASCII string format. It allows data stored in binary to travel across text channels.

Philip Wilkinson

Updated on May 22, 2025

A Python linked list is an abstract data type that presents a linear collection of data organized as nodes that then link to another node. Build your own with this guide. 

Paras Varshney

Updated on May 22, 2025

Quantile-quantile (Q-Q) plots are used to check whether data follows a theoretical distribution by comparing the quantiles of the observed and theoretical data. Take a closer look at how Q-Q plots work and how to interpret them.

Akshay Kumar

Updated on May 22, 2025

Binary search is an efficient algorithm for searching a sorted list of data to find an item. Here’s an overview of how it works, how it compares to linear search, how to implement it in Python and its benefits and downsides.

Francesco Bellelli

Updated on May 22, 2025

A Voronoi diagram (or Dirichlet tessellation or Thiessen polygons) is a type of tessellation pattern where points on a plane are divided into exactly n number of cells, which enclose a region of the plane that is closest to each point.

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.