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ad-optimization

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📊 Web Ad Optimization using Reinforcement Learning (UCB) 🚀 An interactive Machine Learning application that uses the Upper Confidence Bound (UCB) algorithm to optimize advertisement selection and maximize Click Through Rate (CTR). Demonstrates exploration vs exploitation in real-time using Streamlit.

  • Updated Apr 3, 2026
  • Jupyter Notebook

Claude Code plugin for Meta Ads — AI-powered Facebook & Instagram ads analysis, account audits, optimization playbooks, Ad Library competitor research, and campaign management. Built on Meta delivery-system mechanics (breakdown effect, learning phase, CAPI/EMQ). Read-only Marketing API scripts included.

  • Updated Aug 25, 2026
  • Python

Skill open-source de auditoria e otimização de Meta Ads (Facebook, Instagram, Threads) para o Claude Code. Comando /ads: Pixel/CAPI, diversidade de criativos e Entity-ID clustering (Andromeda + GEM + Lattice), tracking server-side, atribuição, budget, PPC math e geração de criativos por IA.

  • Updated Jul 6, 2026
  • Python

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