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
Worried about the startups in India : r/sharktankindia
Documentation -Shark Tank India EDA, by Ansh
startup-analysis/data/funding.csv at master · kyang01/startup-analysis · GitHub
Shark Tank India - Data Analysis. Now days, Shark Tank India is buzz of…, by Shruti Saxena
Lessons from the Tank: Analyzing 800+ Shark Tank Pitches - Unboxed Analytics
Shark Tank India - Data Analysis. Now days, Shark Tank India is buzz of…, by Shruti Saxena
anthropic-cookbook/multimodal/reading_charts_graphs_powerpoints.ipynb at main · anthropics/anthropic-cookbook · GitHub
Lessons from the Tank: Analyzing 800+ Shark Tank Pitches - Unboxed Analytics
Shark Tank India - Data Analysis. Now days, Shark Tank India is buzz of…, by Shruti Saxena
Sustainability, Free Full-Text
Analysis of the Startup Pitches in Shark Tank India