Archive - Vizuara’s AI Newsletter

April 2025

Introduction to Scikit-learn in Python

Why mastering Scikit-learn is non-negotiable in ML

Apr 29 •

Vizuara AI Labs

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Data Visualization for ML with Python

Your model deserves better visuals - not for aesthetics, but for convincing stakeholders

Apr 26 •

Vizuara AI Labs

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From One-Hot encoding to meaning

Build Word2Vec from scratch and understand every layer

Apr 24 •

Sharvesh Subhash

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Vizuara AI Labs

The 4 layers of defense against overfitting

A 95 percent training accuracy means nothing if your model collapses on validation

Apr 23 •

Vizuara AI Labs

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From Vibes to W&B: How to escape the chaos of caveman ML workflows

Or: How I stopped worrying and learned to track my experiments like a grown-up.

Apr 15 •

Vizuara AI Labs

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Pandas: The first tool you should master in Data Science (and probably the most underrated)

And why you should stop looping like a caveman

Apr 13 •

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Vizuara AI Labs

NumPy: A tale of for-loops, slow code, and how one library changed the course of ML forever

Programming foundations for ML and Data Science

Apr 12 •

Vizuara AI Labs

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Equation "discovery" using Machine Learning

Can an ML model truly learn science?

Apr 8 •

Vizuara AI Labs

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Is cosine similarity always the best choice?

Choosing the right similarity metric for your recommendation system

Apr 3 •

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Vizuara AI Labs

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