I have decided to improve decision tree based on map reduce.
Post by Chirag NagpalHi Chintan
What exactly are you referring to when you mean 'Big Data Research in Decision Tree'.
Scikit learn has a very easy to use interface for applying Random Forest
on datasets, and is ideal for that. It also supports certain improved RFs
like boosted, extreme etc.
Are you looking to do some fundamental research/improvement on Random
Forest itself? Like some new method of Bagging/ Boosting etc ? Then I do
not think Scikit Learn would be a right place to look at. However probably
one can explore if you have some existing code, which you want to add to
Scikit.
PS. Try not to use Big Data too often, the buzzword gets misused a lot.
Lets just call it Machine Learning
Thanks
Chirag Nagpal
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*Sent:* 12 February 2016 12:30
*Subject:* [Scikit-learn-general] Regarding Decision Tree in Scikit-Learn
Hi,
Is anyone working on big data research in Decision Tree using
scikit-learn?
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Regards,
PROF. CHINTAN BHATT <http://in.linkedin.com/pub/chintan-bhatt/22/b31/336>
PhD*, Computer Science
https://sites.google.com/a/ecchanga.ac.in/chintan/
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