Super Data Science: ML & AI Podcast with Jon Krohn 045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok
Apr 19, 2017
Eu Jin Lok, Kaggle Grandmaster, shares insights on forecasting hospital stays using algorithms, feature extraction in credit scoring models, and tips for Kaggle competitions. Also discusses ensembles, overfitting, Python vs. R in ML models, winning Kaggle competitions with feature extraction, team's success in grading essays, transition from marketing to data science.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Intro
00:00 • 3min
Deloitte's Innovation Hackathon
02:50 • 3min
Exploring Strategic Capabilities at Deloitte and Participating in Kaggle Competitions
06:01 • 12min
Discussion on Ensembles, Overfitting, and Python vs. R in Machine Learning Models
17:51 • 2min
Winning a Kaggle Competition with Feature Extraction
19:47 • 5min
Success in Kaggle Competitions and Algorithm Development
24:20 • 16min
Transition from Marketing to Data Science
39:56 • 19min