# justmarkham/scikit-learn-tips

:robot::zap: 50 scikit-learn tips

Repository: https://github.com/justmarkham/scikit-learn-tips
Canonical: https://ross.abutalabs.com/products/scikit-learn-tips
Homepage: https://scikit-learn.tips
Language: Jupyter Notebook
License Family: other
Topics: scikit-learn, machine-learning, python, data-science, data-school
Last push: 2022-09-05T14:51:34+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2351, "days_push": 1458, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1744, forks 435 (observed 2026-08-28T04:05:30.570834+00:00)

## What it is
A collection of 50 short scikit-learn tips by Kevin Markham (Data School), each with a Jupyter notebook and video. It covers practical topics like ColumnTransformer, fit vs transform, and ML preprocessing.

## Use cases
- learn scikit-learn preprocessing tips
- understand fit vs transform in scikit-learn
- find examples of using ColumnTransformer
- improve my scikit-learn pipeline skills
- quick machine learning tips for python
- study scikit-learn best practices

## When to choose
- you want bite-sized, practical scikit-learn lessons with runnable notebooks
- you are a beginner or intermediate Python ML practitioner learning preprocessing and pipelines
- you prefer learning via short videos and notebooks

## When to avoid
- you need comprehensive scikit-learn documentation or a full course
- you are looking for production-ready code or a library to install
- you need content on deep learning frameworks other than scikit-learn

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, developer-tools
- domain: machine-learning, data-science, tutorials
- platform: python
- tags: scikit-learn, jupyter-notebooks, tips, education, data-school

## Member repositories
- justmarkham/scikit-learn-tips (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:30.570834+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:29:29.177641+00:00, confidence not recorded.
  - readme: https://github.com/justmarkham/scikit-learn-tips (fetched 2026-08-28T04:05:30.570834+00:00, sha 2a40b3e53688)
  - homepage: https://scikit-learn.tips (fetched 2026-08-29T11:07:15.570281+00:00, sha b32fcf083691)
- Data as of 2026-08-30T08:39:29.467469+00:00.