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Plain-language machine learning explanations v1.0.0

Use this resource to explain machine learning concepts in plain terms

New

  • 188 downloads
  • 8 likes
  • 62 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ml-concepts-plain-language

First time: connect the CLI with

npx --yes palatekit@latest login

The prompt asks the assistant to act as a machine learning engineer. It explains concepts in easy-to-understand terms, gives step-by-step instructions for building a model, demonstrates techniques with visuals and suggests online resources. The example asks which algorithm to use for unlabeled data.

Mostly picked by

Updated November 2, 2026

Card for the “Plain-language machine learning explanations” prompt

Details

Works in
Install guides
Generates with
Your agent's model
Licence
CC0-1.0

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What you get

  • The full prompt, ready to paste
  • Replace the example question (unlabeled data) with your concept

Good fit for

  • Understanding a concept before explaining it to a team
  • Choosing a method for a dataset without a target variable

Not for

    Tags

    • machine learning
    • models
    • data

    About

    You say

    “Explain the difference between regression and classification with an example.”

    Card for the “Plain-language machine learning explanations” prompt

    Prompt published by tirendazacademy under the CC0-1.0 license, delivered in its original version.

    Show more

    How to use it

    1. Paste the prompt into your assistant or agent
    2. Ask it to explain machine learning concepts in plain terms
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE0.6 KB
    • ml-concepts-plain-language.md0.4 KB
    • NOTICE-PALATEKIT.md0.5 KB

    Origin and licence

    Listed unmodified

    Author
    tirendazacademy
    Source
    github.com/f/prompts.chat/blob/cecef6fc73c2c389770695a56252d331981727de/prompts.csv
    Licence
    CC0-1.0

    Notice

    « Machine Learning Engineer » (tirendazacademy, CC0-1.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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