scikit-learn-machine-learning SKILL.md skillA
scikit-learn-machine-learning from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jaechang-hits/sciagent-skills/scikit-learn-machine-learning@git:20260528.a0c28a2Pins git:20260528.a0c28a2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jaechang-hits/sciagent-skills
- Path
skills/scientific-computing/scikit-learn-machine-learning/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260528.a0c28a2, committed May 28, 2026
- Size
- 16,057 bytes
- Repository stars
- 381
- License
- a license file GitHub does not identify
Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines. Linear models, tree ensembles, SVMs, K-Means, PCA, t-SNE. Use PyTorch/TF for deep learning; XGBoost/LightGBM for scale.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# scikit-learn ## Overview scikit-learn is the standard Python library for classical machine learning. It provides consistent APIs for supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, and preprocessing, with seamless integration into NumPy/pandas workflows. ## When to Use - Building classification models for labeled data (spam detection, disease diagnosis, species identification) - Predicting continuous outcomes with regression (price prediction, dose-response modeling) - Clustering unlabeled data into groups (patient stratification, gene expression clusters) - Reducing dimensionality for visualization or feature engineering (PCA, t-SNE on multi-omics data) - Evaluating and comparing model performance with cross-validation - Tuning hyperparameters systematically (grid search, random search) - Building reproducible ML pipelines with preprocessing and modeling steps - For deep learning tasks (images, NLP), use `pytorch` or `transformers` instead - For large-scale gradient boosting, use `xgboost` or `lightgbm` instead ## Prerequisites - **Python packages**: `scikit-learn`, `numpy`, `pandas` …
Read the whole file at its exact version.
How to install
mdr add jaechang-hits/sciagent-skills/scikit-learn-machine-learning@sha256:784f21f0b13ddc71The line at the top of this page pins the label git:20260528.a0c28a2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_h6zcgvj3ty6r6y46)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 28, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (16057 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_h6zcgvj3ty6r6y46 GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/scikit-learn-machine-learning GET https://markdownregistry.com/api/v1/blob/784f21f0b13ddc7182eff322129e63ef4615e0210426fba885b7a4442ed50705
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.