Pitch-Analysis-of-Shark-Tank-contestants/Dataset.csv at main · shoaib555/Pitch-Analysis-of-Shark-Tank-contestants · GitHub

Initial text mining exercise was performed on a dataset of Shark tank episodes with 495 entrepreneurs making their pitch to VCs. Used that to build multiple models (CART, Random Forest, Logistic Regression) to predict keywords which have an impact on striking a deal. - Pitch-Analysis-of-Shark-Tank-contestants/Dataset.csv at main · shoaib555/Pitch-Analysis-of-Shark-Tank-contestants

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rstudio-global-2021-program/export_sessions.csv at master · rstudio/rstudio-global-2021-program · GitHub

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Lessons from the Tank: Analyzing 800+ Shark Tank Pitches - Unboxed Analytics

Shark Tank India EDA Project you can add to your resume as a fresher, by Ritikajaiswal

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