Hi all, I'm trying to help my team reduce creating new code when leveraging existing libraries might get the job done. Does anyone have thoughts on how the following can be accomplished? https://stackoverflow.com/q/58533004/1566074
Basically finding the optimal subgroups for a dataset to then feed into an estimator to reduce noise.
masteris easy (just change the import path), the challenging part is to make work out-of-date version with a newer scikit-learn.
try except ImportErroras you suggested I think
help wanted. I suppose a new one can pick this and conclude the PR also taking into account the comments of the reviewers. What's the best here? Create a new PR that refers to the already existing one?
I have two files that contain Event Name, Event City, Event Venue, Event State but in both files it's written in different ways or you can assume both the files are from different source.
I want to create a Machine learning-based algorithm that can do the matching.
I have tried with fuzzy-wuzzy to get string similarity.
Can anyone please tell me if I want to solve this with Deep Learning what would be the approach. Thanks @amueller