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The Kaggle experience
From a digital analysts’ perspective
HELLO!
I ‘m Alexandros
Independent Consultant
“Data analytics for digital growth”
@alpapag
alex-papageo.com
So how does it all work ?
Kaggle started as
a platform for
ML competitions
–now it’s much
more than that
Active competitions today
The data source
https://goo.gl/e4ZCBn
Not
everything
went as
expected…
My 4 ways
to make
the most of
Kaggle
*Remember it’s not just about competing!
Datasets
• 11
1 15K datasets to explore
Community
• 11
2 of 2.5M Kagglers to interact with
Kagglers are mostly professionals
The top 10 titles
Kaggle progression ladder
Compute Power
on the Cloud
• 11
3
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
As of 2018: Private kernels possible too
Professional
Development
• 11
4
Getting started with Kaggle
• Explore the datasets
• Start a private project
• Join a learning competition
• Join a regular competition
Kaggle provides for you
both the data and the
question to answer
Life outside Kaggle
might not be like this
Remember
though…
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
Happy Kaggling
THANK YOU!
www.alex-papageo.com/blog
@alpapag
Alexandros Papageorgiou
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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The Kaggle Experience from a Digital Analysts' Perspective

Editor's Notes

  1. kaggle.com/datasets kaggle.com/discussion kaggle.com/kernels kaggle.com/jobs
  2. kaggle.com/datasets kaggle.com/discussion kaggle.com/kernels kaggle.com/jobs