The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel

the k-NN Regressor and the idea of prediction based on distance, we now look at the k-NN Classifier. The principle ...
Read more The Machine Learning Lessons I’ve Learned This Month

) in machine learning work are the same. Coding, waiting for results, interpreting them, returning back to coding. Plus, some ...
Read more The Greedy Boruta Algorithm: Faster Feature Selection Without Sacrificing Recall

This article was a collaborative effort. A special thank you to Estevão Prado, whose expertise helped refine both the technical concepts ...
Read more The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint

, it is very easy to train any model. And the training process is always done with the seemingly same ...
Read more Data Science in 2026: Is It Still Worth It?

about switching to Data Science in 2026? If the answer is “yes,” this article is for you. I’m Sabrine. I ...
Read more TDS Newsletter: November Must-Reads on GraphRAG, ML Projects, LLM-Powered Time-Series Analysis, and More

Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, ...
Read more How to Implement Three Use Cases for the New Calendar-Based Time Intelligence

Introduction about Time Intelligence in DAX in the past. However, the new Calendar-based Time Intelligence feature rewrites the rulebook, as ...
Read more How to Implement Randomization with the Python Random Module

to Randomisation In our day-to-day life, we come across several different phenomena that are totally random. The weather is random: ...
Read more How To Build a Graph-Based Recommendation Engine Using EDG and Neo4j

In this tutorial, I’ll show you how to manage a taxonomy in EDG and publish it to a Neo4j instance, ...
Read more Modern DataFrames in Python: A Hands-On Tutorial with Polars and DuckDB

If with Python for data, you have probably experienced the frustration of waiting minutes for a Pandas operation to finish. ...
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