Kaggle is a platform that hosts data science and machine learning competitions. It has about half a million data scientists on its platform. Their competitors are DrivenData, TopCoder and HackerRank. With so much of competition, they have managed to stay ahead of the game because their focus is on the specific niche such as data science and machine learning. It was founded in 2010 by Anthony Goldbloom and Ben Hamner.
On 8 March 2017, Google announced that they were acquiring Kaggle. They will join the Google Cloud team.
Now, lets see how to source from Kaggle :
1. Search by Data Science Keywords :
site:kaggle.com/users* ("machine learning" OR "Data Analysis" OR "Data Mining" OR "statistical modeling" OR "Analytics")
2. Search by Bigdata Keywords :
site:kaggle.com/users ("Hadoop" OR Big data" OR "Bigdata" OR "Hive" OR"Pig")
3. Search by Country (Specific )
This would pull out the
site:kaggle.com/users/* India data (users based out of India in Kaggle)
This would pull out the
site:kaggle.com/users/* India data (users based out of India in Kaggle)
site:kaggle.com/users/* Singapore data (users based out of Singapore in Kaggle)
site:kaggle.com/users/* "United States" data (users based out of Singapore in Kaggle)
Once you see the them, you can do cross reference on LinkedIn
Happy Sourcing !!
