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The Kaggle Experience from a Digital Analysts' Perspective

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Publié le

Thessaloniki Digital Analytics meetup - 28 January 2019

Publié dans : Données & analyses
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The Kaggle Experience from a Digital Analysts' Perspective

  1. 1. The Kaggle experience From a digital analysts’ perspective
  2. 2. HELLO! I ‘m Alexandros Independent Consultant “Data analytics for digital growth” @alpapag alex-papageo.com
  3. 3. So how does it all work ? Kaggle started as a platform for ML competitions –now it’s much more than that
  4. 4. Active competitions today
  5. 5. The data source
  6. 6. https://goo.gl/e4ZCBn Not everything went as expected…
  7. 7. My 4 ways to make the most of Kaggle *Remember it’s not just about competing!
  8. 8. Datasets • 11 1 15K datasets to explore
  9. 9. Community • 11 2 of 2.5M Kagglers to interact with
  10. 10. Kagglers are mostly professionals
  11. 11. The top 10 titles
  12. 12. Kaggle progression ladder
  13. 13. Compute Power on the Cloud • 11 3
  14. 14. Kaggle kernels: a powerful “laptop” on the cloud • 9 hours execution time • 5 Gigabytes of auto-saved disk space • 16 Gigabytes of temporary disk space • CPU Specifications – 4 CPU cores – 17 Gigabytes of RAM • GPU Specifications – 2 CPU cores – 14 Gigabytes of RAM
  15. 15. As of 2018: Private kernels possible too
  16. 16. Professional Development • 11 4
  17. 17. Getting started with Kaggle • Explore the datasets • Start a private project • Join a learning competition • Join a regular competition
  18. 18. Kaggle provides for you both the data and the question to answer Life outside Kaggle might not be like this Remember though…
  19. 19. Take aways • 15K datasets waiting to be explored • 2.5M Kagglers to learn from and network with • Powerful free resources for data science on the cloud • Can be part of your professional development plan
  20. 20. Happy Kaggling
  21. 21. THANK YOU! www.alex-papageo.com/blog @alpapag Alexandros Papageorgiou
  22. 22. Useful Kaggle Resources • kaggle.com/datasets • kaggle.com/discussion • kaggle.com/kernels • kaggle.com/jobs • kaggle.com/learn-forum • kaggle.com/c/ga-customer-revenue-prediction

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