9段階のイテレーションを通じた心臓病予測の進化。統計学(標本誤差の最小化)を実戦投入し、5-Seed Averagingによる極めて高い汎化性能と実務的信頼性を実現したMLポートフォリオ。
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Updated
Mar 31, 2026 - Python
9段階のイテレーションを通じた心臓病予測の進化。統計学(標本誤差の最小化)を実戦投入し、5-Seed Averagingによる極めて高い汎化性能と実務的信頼性を実現したMLポートフォリオ。
AI-powered data preparation pipeline: upload messy files, review AI cleaning plans, download analysis-ready datasets. Built on Azure AI Foundry + 8-agent orchestration.
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