<zoq[m]>
<IWNMWEIWNMWE[m]> "link:https://docs.google.com/..." <- Thanks for the application, just left some high level comments.
<zoq[m]>
<NishantTekwani[m> "Hi mentors , Im a fresher..." <- Depends on the project, most of the ideas on the ideas list, have an `difficulties` indicator, that give you some ideas about what knowledge is expected.
<IWNMWEIWNMWE[m]>
Thank you for reviewing my proposal I will make change to my proposal accordingly by today
<IWNMWEIWNMWE[m]>
BTW seeing that how my timeline can still accommodate some more work I actually came up with a last minute addition in my deliverables
<IWNMWEIWNMWE[m]>
<IWNMWEIWNMWE[m]>
I am planning to add a adaboost regressor as well (Adaboost.R2)
<IWNMWEIWNMWE[m]>
Seeing that the algorithm would nearly require the same methods as the current impl and the library even has a decision tree regressor which takes weights as parameters I would say it would be an swift addition to the library which
<IWNMWEIWNMWE[m]>
I will be shorly making changes in the google docs provided
<IWNMWEIWNMWE[m]>
I would appreciate any feedback on my proposal
<NishantTekwani[m>
<zoq[m]> "Depends on the project, most..." <- ill start learning and try to be a part of community do that I can have real life and hands on expierence
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<Ryan40>
Hi all!
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<Ryan40>
I am a math grad student (studying applied probability). The documentation and code quality of mlpack in general seem really great, and the project aligns with my interests. I am interested in contributing, and thought I'd spend some time in this channel to see if the project will be a good fit.
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<Ryan40>
Does anyone want to chat about what they're currently working on?