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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