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Data Science

Types of Data: Categorical, Ordinal, Discrete and Continuous

Before you compute a single statistic, you need to know what kind of data you are holding. This article teaches the four basic types of data, why they behave differently, and the mistakes that follow from mixing them up.

Niranjan Singh Oct 6, 2026 · 17 min read
  2. Machine Learning

    Choosing a Framework, or None

    A practical look at what agent frameworks actually do for you, the main categories on the market, and a decision checklist for when plain Python is the better choice. Over the last nine parts of this path you have built up the pieces of an agent by hand, at least on paper: a loop that observes, thinks and acts (part…

    MLHub Agents & Robotics · 16 min read

  3. Computer Vision

    Colour Spaces: RGB, HSV and Greyscale

    A pixel is just three numbers until you decide what they mean. This part explains RGB, greyscale and HSV from first principles, including the BGR trap and the 0-179 hue scale that catch almost everyone the first time they use OpenCV.

    MLHub Deep Learning · 15 min read

Tools & Libraries

PyTorch, TensorFlow and JAX Compared

A practical, example-driven comparison of PyTorch, TensorFlow and JAX: how each one actually runs your code, how automatic differentiation and compilation differ, and which one makes sense to …

Niranjan Singh Oct 20 18 min

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Data Science

Ten Data Leakage Mistakes and How to Catch Them

A practical tour of the ten most common ways test information sneaks into model training, with worked examples and concrete checks for catching each one before deployment.

The MLHub Posts Oct 30 17 min
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Learning path · 12 parts

Statistics From Zero for Data Work

by Niranjan Singh · 12 parts · about 226 min · beginner

The statistics every data role uses daily, explained from the first idea with small real datasets. No formula is used before it is motivated.

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Learning path · 11 parts

AI Agents Fundamentals

by MLHub Labs · 11 parts · about 226 min · intermediate

What an agent is, how the loop of thinking and acting works and when a simple workflow is the better choice.

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Learning path · 10 parts

The Impression Playbook: Speak, Connect and Persuade

by Gurpreet Deol · 10 parts · about 420 min · beginner

Ten long, practical lessons on making a strong impression when you speak: introducing yourself, talking to strangers, body language, voice, listening, persuasive wording, storytelling, …

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Gurpreet Deol

Articles and learning paths are published. Corrections are welcome in the comme…

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Deep learning, agents and robotics at MLHub

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Statistics, data tools and data science on MLHub

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The latest in AI, machine learning and data, explained

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MLHub Agents & Robotics

11 articles · 1 writer · 2 followers

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AI agents, reinforcement learning and physical AI

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