Data Science Articles

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Anthony Corbo Anthony Corbo
Updated on July 22, 2025

What Is Python?

Python is a programming language used in website development, software development, task automation, data analysis and data visualization.

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Rohan Mistry Rohan Mistry
Updated on July 16, 2025

Model Interpretability and Explainability Techniques Explained

Model interpretability refers to how easy it is to understand how a model works. Common techniques include SHAP, LIME, PDPs and more. Learn more.

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Thiago Carvalho Thiago Carvalho
Updated on July 16, 2025

Grouping Data With R: A Guide

Grouping data is an important step in the data analysis process, allowing you to summarize important information. Here’s how to group it in R.

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Anthony Corbo Anthony Corbo
Updated on July 16, 2025

How Is Python Used in Machine Learning?

Python is a popular programming language to use in machine learning because it offers developers exceptional versatility and power while integrating with other software.

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Stephen Gossett Stephen Gossett
Updated on July 15, 2025

What Is a Chief Data Officer?

Chief data officers, or CDOs, are C-suite executives responsible for the developing and implementing an organization’s data strategy.

Sara A. Metwalli Sara A. Metwalli
Updated on July 15, 2025

Python Databases 101: How to Choose a Database Library

A Python database refers to using Python to manage and interact with databases, while a Python database library is a Python library that enables this interaction through Python. Here's what to know to choose a Python database library.

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Anthony Corbo Anthony Corbo
Updated on July 14, 2025

What Is the R Programming Language?

R is a programming language widely used in data science that offers tools for statistical analysis and data visualization, including advanced plotting capabilities.

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Mike Thomas Mike Thomas
Updated on July 14, 2025

29 Machine Learning in Marketing Examples

These companies are fine-tuning their marketing efforts with machine learning.

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Mór Kapronczay Mór Kapronczay
Updated on July 10, 2025

Mean Squared Error (MSE) vs. Mean Squared Logarithmic Error (MSLE): A Guide

Mean squared error (MSE) and mean squared logarithmic error (MSLE) are loss functions used to evaluate regression model prediction accuracy. MSE prioritizes minimizing large absolute errors, and MSLE reduces outlier impact through logarithmic scaling.

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Sara A. Metwalli Sara A. Metwalli
Updated on July 09, 2025

5 Structured Thinking Techniques for Data Scientists

Structured thinking is an approach to problem solving that organizes complex issues into clear, actionable parts. It helps professionals tackle ambiguity by applying consistent frameworks to guide analysis and decision-making.

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