Python machine learning skill: scikit-learn, PyTorch, and MLOps basics
sklearn model pipelines, PyTorch basics, feature engineering, evaluation metrics, and MLOps fundamentals (serialization, MLflow, serving)
- What
- sklearn model pipelines, PyTorch basics, feature engineering, evaluation metrics, and MLOps fundamentals (serialization, MLflow, serving)
- Cost
- Free
- Needs
- Python fundamentals, NumPy and Pandas, and basic statistics — the skill is an overview guide the agent follows, not software to install
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Selected by Skill Harbor — short listing (the repo states no license, so no content is reproduced): @pluginagentmarketplace's Python machine-learning skill — an overview agent skill covering scikit-learn (preprocessing, model selection, pipelines, cross-validation, hyperparameter tuning), PyTorch basics (tensors, modules, training loops, DataLoaders, GPU acceleration), feature engineering (selection, dimensionality reduction, scaling, encoding, missing data), model evaluation (metrics, confusion matrix, ROC curves, learning curves, model comparison), and MLOps basics (serialization, MLflow experiment tracking, model versioning, serving, reproducibility) — with prerequisites (Python, NumPy/Pandas, statistics) and stated learning outcomes. Honest caveats: overview-level content rather than a deep reference — pair with a focused skill (e.g. a scikit-learn best-practices skill) for depth; license not stated by the source repo — short listing with a link only, nothing copied. Skill Harbor never reviews the code, review it yourself before use. Discovered via skills.sh.
Version:
Install
Prerequisites: Python fundamentals, NumPy and Pandas, and basic statistics — the skill is an overview guide the agent follows, not software to install Install "Python machine learning skill: scikit-learn, PyTorch, and MLOps basics" for me. It gives my agent @pluginagentmarketplace's machine-learning overview: sklearn model pipelines, PyTorch basics, feature engineering, evaluation metrics, and MLOps fundamentals. IMPORTANT: the repo states no license — fetch from the link only, and reproduce nothing beyond the link. Repository: https://github.com/pluginagentmarketplace/custom-plugin-python/blob/main/skills/machine-learning/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "machine-learning". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. tell the agent which topic to work on — sklearn pipelines, PyTorch basics, or MLOps; it's overview-level — pair with a focused skill for depth). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.