Go beyond static plots with matplotlib.

An accessible dive into correlation, base proportions, summary statistics, and uncertainty.

A Random Forest is a powerful machine learning algorithm that can be used for classification and regression, is interpretable, and doesn’t require feature scaling. Here’s how to apply it.

Applied to a very real problem: baking bread!

Explaining useful features every data analyst needs

In this writing, I discuss how the Generative AI (GenAI) system, DeepSeek, handles the request to suggest a tetrad color harmony that…

Auto differentiation and JIT compilation make a compelling case.

Visualize flood impact using elevation data

Data insights made simple

More than 350 million people are colorblind - Make sure they can read your visualizations.

Use LazyPredict and PyCaret to skip the grunt work and jump straight to performance.

Let’s observe the matter on the atomic level

A brief analysis using density estimation to compare the two-verdict and three-verdict systems.

A guide to building a front-end data application.

How I built an AI-powered prototype to turn images into insights

In this writing, I discuss how the Generative AI (GenAI) system, Claude, handles the request to suggest a tetrad color harmony that passes…

Explore the shift from static reports to intelligent apps with our first ebook.

Is there a way to use the out-of-the-box features of Power BI to be IBCS compliant?

Writing, testing and using them. The post An Introduction to Remote Model Context Protocol Servers appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original…

How to find machine learning projects that will get you hired.