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Training data normalization v1.0.0

Use this resource to normalize data before training a model

New

  • 330 downloads
  • 186 likes
  • 194 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install data-normalization-helper

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

This skill activates on data normalization requests and guides the agent step by step, with examples and error-handling rules. Its page does not specify a statistical method, so check the transformations on a sample before applying them.

Mostly picked by

Updated November 2, 2026

Card for the “Training data normalization” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: normalization steps and prerequisites
  • SKILL.md: examples and error handling

Good fit for

  • Your variables are on very different scales
  • You are preparing a dataset for training

Not for

    Tags

    • normalization
    • data
    • machine learning
    • preprocessing

    About

    You say

    “Normalize the numeric columns of my dataset before training.”

    Card for the “Training data normalization” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to normalize data before training a model
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/07-ml-training/data-normalization-tool
    Licence
    MIT

    Notice

    « data-normalization-tool » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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