Winning Data Science Competitions – Latest Slides

This year I had several occasions to give my “Winning Data Science Competitions” talk – at Microsoft, KSEA-SWC 2017, USC Applied Statistics Club, Spark SC, and Whisper.

I am grateful for all these opportunities to share what I enjoy with the data scientist community.

I truly believe that working on competitions on a regular basis can make us better data scientists. Hope my talk and slides help other data scientists.

My talk is outlined as follows:

• Why compete
  • For fun
  • For experience
  • For learning
  • For networking
• Data science competition intro
  • Competitions
  • Structure
  • Kaggle
• Misconceptions of data science competitions
  • No ETL?
  • No EDA?
  • Not worth it?
  • Not for production?
• Best practices
  • Feature engineering
  • Diverse algorithms
  • Cross validation
  • Ensemble
  • Collaboration
• Personal tips
• Additional resources

You can find latest slides here