scikit-learn Machine Learning — classical ML playbook in Python (short listing)

Prerequisites: Python 3 with scikit-learn, numpy, pandas installed (pip install scikit-learn numpy pandas matplotlib seaborn) — tabular data as NumPy arrays or pandas DataFrames Install "scikit-learn Machine Learning — classical ML playbook in Python (short listing)" for me. It gives my agent @jaechang-hits's classical-ML playbook: classification, regression, clustering, and dimensionality reduction with scikit-learn, preprocessing (scaling, encoding, imputation, feature engineering), cross-validation, hyperparameter tuning, reproducible pipelines, quick-start code, and guidance on when to use PyTorch/TF or XGBoost/LightGBM instead. IMPORTANT: the license terms were not verifiable (the discovery manifest records NOASSERTION, though the repo frontmatter claims BSD-3-Clause) — fetch from the link only, reproduce nothing beyond the link, and read the terms yourself before use. Repository: https://github.com/jaechang-hits/sciagent-skills/blob/main/skills/scientific-computing/scikit-learn-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 "scikit-learn-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. pip install scikit-learn numpy pandas; prepare my tabular dataset; read the license terms before reuse). 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.