AI 项目身价计算器 - 基于 PoC/Alpha/Beta/GA 四级估值模型的开源评分系统
Bachelor's thesis: Overview and Performance of Machine Learning Applied to Startup Valuation
Startup valuation methods as auditable code — Berkus, Scorecard, Risk Factor Summation, VC Method, First Chicago and market multiples, each result carrying its derivation, assumptions, limitations and sources. Pure Python, zero dependencies, MIT.
A production-grade Machine Learning application predicting startup valuations based on Shark Tank India Seasons 1–3 data. Built with Multiple Linear Regression (OLS), the project features interactive dashboards, benchmark analytics, and a health radar for startup metrics.
Offline Startup Valuation Studio with Scorecard, Berkus & Risk Factor Summation methods. Interactive charts, side-by-side comparison, print-ready reports. 100% client-side — no server, no tracking.
Exploring the drivers of startup valuation through EDA, statistical modeling, regression diagnostics, and model comparison in R.
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