scikit-learn
Scikit-learn Machine Learning
Industry-standard Python library for classical machine learning.
When to Use
- Classification or regression tasks
- Clustering or dimensionality reduction
- Preprocessing and feature engineering
- Model evaluation and cross-validation
- Hyperparameter tuning
- Building ML pipelines
Algorithm Selection
Classification
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Use when working with "PDF", "Excel", "Word", "PowerPoint", "XLSX", "DOCX", "PPTX", "spreadsheets", "presentations", "extract text", "merge documents", "convert documents", or asking about "office document manipulation
892file-organization
Use when "organizing files", "cleaning up folders", "finding duplicates", "structuring directories", or asking about "Downloads cleanup", "folder structure", "file management
336literature-review
Use when "literature review", "research synthesis", "systematic review", "academic search", or asking about "find papers", "cite sources", "research gaps", "meta-analysis", "bibliography
226resume-generator
Use when "tailoring resume", "job application", "CV customization", "ATS optimization", or asking about "resume writing", "career transition", "job description matching
138content-writing
Use when "writing articles", "blog posts", "content creation", "research writing", "technical writing", or asking about "outlining", "citations", "improving hooks", "writing feedback
120agent-browser
Use when automating browser interactions via CLI, filling forms, taking screenshots, scraping pages, or asking about "agent-browser", "browser automation", "headless browser", "web scraping", "form filling", "Vercel browser
103