By A Mystery Man Writer
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
Analysing Interactions with SHAP. Using the SHAP Python package to…, by Conor O'Sullivan
Pitch Tracking Using Multiple Pitch Estimations and HMM - MATLAB & Simulink - MathWorks Deutschland
GitHub - dante-falls/Purple-Shark: A Bash Script that parses through a PCAP file and automatically outputs valuable information about the Network Traffic.
startup-analysis/data/funding.csv at master · kyang01/startup-analysis · GitHub
ShazaSaleh's gists · GitHub
Shark Tank deep dive: A data analysis of all 10 seasons - The Hustle
Analysis of the Startup Pitches in Shark Tank India
Shark Tank India - Data Analysis. Now days, Shark Tank India is buzz of…, by Shruti Saxena
GitHub - anrashid4/Evolution-of-3pt-shot: Cleaning NBA csv files with Python and creating visualizations with Tableau
Three Successful Shark Tank Pitch Examples to Learn From (And Another to Avoid)