Data Science Articles

Henri Woodcock

Updated on May 27, 2025

A NumPy random seed is a numerical value in Python that initializes a random number generator, allowing for reproducible results. Here's why to use np.random.default_rng() instead to set random seeds for individual functions/classes in Python.

Sara A. Metwalli

Updated on May 27, 2025

If you’re just getting started on your journey toward becoming a data scientist, these are the 4 most common distributions you’ll encounter.

Dhilip Subramanian

Updated on May 23, 2025

K-nearest neighbor (KNN) is an algorithm that is used to classify a data point based on how its neighbors are classified. Here’s what you need to know.

Artem Oppermann

Updated on May 23, 2025

In this four-part series, I’ll show you how the Markov decision process works and the mathematical theory you need to know to understand deep reinforcement learning.

Sadrach Pierre

Updated on May 22, 2025

Portfolio optimization in Python involves using Python tools and methods to build an investment portfolio that aims to maximize returns and minimize risk. Here's how to use the Python package PyPortfolioOpt for portfolio optimization.

Anthony Corbo

Updated on May 22, 2025

JavaScript algorithms allow a data operation to function precisely while JavaScript data structures are a method of storing data for efficient access and modification.

Dhanushka Madushan

Updated on May 22, 2025

B-tree indexing organizes large volumes of data such that each node contains keys in ascending order, resulting in faster database searches. Here’s why this technique is important, how it’s used and how it works with SQLite.

Catherine Gitau

Updated on May 22, 2025

Fuzzy string matching is the process of finding strings that approximately match each other. Here’s more on how fuzzy string matching works and how to perform the process using the Python library FuzzyWuzzy.

Matthew Urwin

Updated on May 22, 2025

In finance, quantitative modeling is the practice of organizing and interpreting data sets with mathematical formulas to identify trends in the broader markets. Here’s why it’s important, its key characteristics and the tools it involves.

Abdishakur Hassan

Updated on May 22, 2025

A Python dashboard is an interactive application that displays data visually using charts, tables and controls like buttons or sliders. Here's how to create flexible and powerful dashboards in Python with the Panel library.