ML For Beginners
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
OPENAGENTSKILL / DIRECTORY
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Results: 52
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
keras-team
Deep Learning for humans
himself65
Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context.
tradermonty
Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context.
StanleyChanH
Access China, Hong Kong, US, fund, futures, bond, and macroeconomic data through Tushare Pro workflows.
elastic
Your window into all of your data
andrewRowlinson
Football pitch plotting and soccer analytics visuals for match reports and dashboards.
RVC-Boss
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
agiprolabs
Measure portfolio returns, risk, drawdowns, benchmarks, rolling metrics, and strategy performance from approved data.
AppFlowy-IO
Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where you achieve more without losing control of your data. The leading ope…
anthropics
Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries.
OpenBB-finance
Financial data platform for analysts, quants and AI agents.
run-llama
Data framework for building RAG and knowledge workflows around agent tasks.
tradermonty
Create a global market conditions report spanning equities, rates, FX, commodities, risk appetite, and sector rotation.
tradermonty
Research a US equity across fundamentals, valuation, technical context, peers, and current market data.
AlphaGBM
Analyze a ticker with AlphaGBMs five-pillar framework: fundamentals, technicals, sentiment, flows, and valuation.