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Scikit-learn best practices v1.0.0

Use this resource to build and evaluate reproducible scikit-learn models

New

  • 537 downloads
  • 151 likes
  • 112 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install scikit-learn-ml-workflow

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

The agent follows the scikit-learn workflow end to end: splitting data before any preprocessing, pipelines, column transformers, cross-validation and metrics. You get a reproducible setup and reliable evaluations.

Mostly picked by

Updated November 2, 2026

Card for the “Scikit-learn best practices” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: data preparation and feature engineering
  • SKILL.md: pipelines, column transformers and model selection
  • SKILL.md: cross-validation, hyperparameter tuning and metrics

Good fit for

  • You are training a first classification model and want to avoid data leakage
  • Your test scores are good but drop in production

Not for

    Tags

    • scikit-learn
    • machine learning
    • pipeline
    • evaluation

    About

    You say

    “Build a scikit-learn pipeline to predict churn, with cross-validation and classification metrics.”

    Card for the “Scikit-learn best practices” skill

    Skill published by mindrally under the Apache-2.0 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 build and evaluate reproducible scikit-learn models
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md4.6 KB

    Origin and licence

    Listed unmodified

    Author
    mindrally
    Source
    github.com/mindrally/skills/tree/7682ca77710e0971eab4e0ae5dddfa281aea0ba5/scikit-learn-best-practices
    Licence
    Apache-2.0

    Notice

    « scikit-learn-best-practices » (mindrally, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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