This is where Data Scientist spend their nights and weekends.
It's a crowd-sourced platform to attract, nurture, train and challenge data scientists from all around the world to solve data science, machine learning and predictive analytics problems.
Kaggle is number one stop for data science enthusiasts all around the world who complete for prizes and boost their kaggle rankings.
Kaggle enables data scientist and other developers to engage in running machine learning contests, write and share code, and to host datasets.
Why Kaggle?
1. Competitions: you can complete on many problems. Find the problems you find interesting and complete to provide better solution to the problem.
2. Datasets: the best place to discover and seamlessly analyze open data. You can find any data set of your interest and apply analytical methods to fine tune your analytical capabilities.
3. Kernels: kaggle allows, user to share and learn from different approaches.
4. Alongside its public competitions, kaggle also offers private competitions limited to kaggle's top participants.
How to Get Started on Kaggle
1. Pick a programming language.
2. Learn the basics of exploring data.
3. Train your first machine learning model.
4. Tackle the 'Getting Started' competitions Types:
a. Featured
b. Research
c. Recruitment
d. Featured competitions, but not prize pools
5. Complete to maximize leanings, not earnings.
Tips for Enjoying kaggle
set incremental goals.
Review most voted kernels.
Asks questions on the forums.
Work solo to develop core skills.
Team up to push your boundaries.
Remember that kaggle can be a stepping stone.
Don't worry about low ranks.
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