[mlpack] Example Zoo

[Ryan Curtin]

Hey Roshan,

Thanks for your interest!  Sorry I was not able to get back to until
now.  I took a look through your proposal yesterday and left some
comments---hopefully they are helpful!

I will say, the project is pretty open-ended.  So it is up to you which
examples you think would be interesting or effective to add.

Hope that helps!

Thanks,

Ryan

On Fri, Apr 02, 2021 at 12:02:16PM +0530, Roshan Swain wrote:
> Hello Sirs,
> Good Day! I am planning on applying for "Example zoo" for this GSoC.
> 
> As I am machine learning practitioner, it will be very interesting and
> helpful for me in the same way to implement various machine learning
> algorithms and see how they perform.
> 
> So it will be very helpful if you can advice me a little on how this
> project direction should go[ I don't want to deviate from the vision of
> this project].
> 
> Let me breakdown what I understand:
>  1. Implementing ML models on different datasets in form of jupyter
> notebook or code, in short a sort of tutorial to showcase our library and
> its usage.
> 
>  2. Having code snippets which we can add in documentation/blog of those
> algorithms, so that newcomer has an easy idea on how to use it or just copy
> the code and use it in their project.
> 
>  3.Having interesting pictures or diagrams explaining the algorithm.
> 
> 4. Visualization of metrics and losses.
> 
> 
> @Ryan Curtin @zoq I read the future of mlpack and I think there was mention
> about this project as one of key part. I think I can contribute a part
> here, so it will be very helpful if you can guide me how this should go.
> This will be my first GSoC and it will be very helpful to get a word of
> mouth.
> 
> P.S.: I read the details on the project on GSoC page of our organization,
> but still wanted to discuss in depth on this project.
> 
> Regards
> Roshan Swain
> @swaingotnochill

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-- 
Ryan Curtin    | "In that case... create your own door."
ryan at ratml.org |  - Pan