Hello Developers, This is Aman Pratik. I am currently pursuing my B.Tech from Indian Institute of Technology, Varanasi. I am a keen software developer and not very new to the open source community. I am interested in your project "*Improve online learning for linear models*" for GSoC 2017.
I have been working in Python for the past 2 years and have good idea about Machine Learning algorithms. I am quite familiar with scikit-learn both as a user and a developer. These are the PRs I have worked/working on for the past few months. [MRG+1] Issue#5803 : Regression Test added #8112 <https://github.com/scikit-learn/scikit-learn/pull/8112> [MRG] Issue#6673 : Make a wrapper around functions that score an individual feature <https://github.com/scikit-learn/scikit-learn/pull/8038> [MRG] Issue #7987: Embarrassingly parallel "n_restarts_optimizer" in GaussianProcessRegressor <https://github.com/scikit-learn/scikit-learn/pull/7997> My GitHub Profile: https://www.github.com/amanp10 I have basic knowledge about SGD (Stochastic Gradient Descent) and related algorithms. Also, I am familiar with Benchmark tests, Unit tests and other technical knowledge I would require for this project. I have started my study for the subject and am looking forward to guidance from the potential mentors or anyone willing to help. Thank You
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