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Analyzing a real-world dataset of over 200,000 startup observations using Python libraries to discover, display and discuss systemic patterns in venture capital funding levels across borders and industries. A minimal ML-based predicition tree was used to test my regression hypothesis. Some data were pulled through web-scraping, and future improv…
parmism/Startup-funding-patterns-across-borders-and-industries
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Analyzing a real-world dataset of over 200,000 startup observations using Python libraries to discover, display and discuss systemic patterns in venture capital funding levels across borders and industries. A minimal ML-based predicition tree was used to test my regression hypothesis. Some data were pulled through web-scraping, and future improv…
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