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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GitHub - anrashid4/Evolution-of-3pt-shot: Cleaning NBA csv files with Python and creating visualizations with Tableau
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