Bachelor's thesis: Overview and Performance of Machine Learning Applied to Startup Valuation
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Updated
Sep 4, 2022 - Python
Bachelor's thesis: Overview and Performance of Machine Learning Applied to Startup Valuation
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
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.
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.
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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