Cs229 2019 Summer
maxim5
All notes and materials for the CS229: Machine Learning course by Stanford University
291GitHub
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AI Agent Skills
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Machine Learning With Python Cookbook Notes
DustinAlandzes
(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
288GitHub
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Frontend and UI skills →
Design direction, Figma implementation, UI review, React performance, browser QA, and safe preview deployments.
Coding agent skills →
Code review, repo inspection, testing, planning, shipping, and engineering workflows for coding agents.
Research and RAG skills →
Research, recent-events briefings, PDF parsing, markdown conversion, RAG ingestion, and knowledge workflows.
Web scraping skills →
Crawling, scraping, extraction, browser automation, structured data capture, and website-to-markdown workflows.
PPT and presentation skills →
Presentation generation, editable PPTX, slide decks, speaker notes, and visual storytelling workflows.
Video creation skills →
Video-generation prompts, B-roll, Vox-style explainers, camera direction, captions, and creative-production workflows.
Design and creative skills →
Image, video, creative production, UI design, multimodal generation, and visual workflow skills.
Data and analytics skills →
Data analysis, analytics, ETL, notebooks, databases, tables, charts, and reporting workflows.