Hello Omkar, welcome to the community, you are definitely on the right track; getting familiar with the codebase is the first thing I recommend everyone doing.
The example-zoo project is really an open-ended project, and our main goal is to have a large pool of interesting examples that use mlpack methods in some way. You are not restricted to use mlpack for everything, like if you use mlpack for pre or post-processing of the data and another library for the rest that's fine. Another example is to use mlpack e.g. for classification but another framework to load and visualize the data. An easy way to approach this project is to search for interesting Kaggle competitions and see who they can be solved with existing mlpack methods. I hope what I said was helpful; let me know if I should clarify anything further. Thanks, Marcus > On 25. Mar 2021, at 23:12, Omkar Kolte <[email protected]> wrote: > > Dear Sir, > I am Omkar Kolte, a Junior (third-year student) from Mumbai University, > INDIA. I have been coding for the past 3 years. I am profound in > Python(Modules: NumPy, Matplotlib, Pandas, seaborn, mlpack and currently > learning flask and Django, etc), C++, PHP, Mysql, Javascript. I have some > experience in open source by participating in Hackertoberfest'20(a Month-long > Open Source Event organized by Digital Ocean) and GSSoC(Girlscript Summer of > Code). I want to openly contribute to the project example-zoo from mlpack. As > per my understanding from the ideas page, I have started working on the Model > and visualization of Breast Cancer Wisconsin (Diagnostic), Pima Indians > Diabetics, MNIST, and Boston House Price Datasets (trying to do maximum usage > of mlpack library). Please can you help me out with your expectations from > the student applying and am I on the right track and what more I need to do > to be the best candidate for this project? _______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
