This is the proverbial hello-world repository.
It will contain intorductory information about me and my work. Also it will contain gist of all projects I have created and published in github.
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jupyter-notebooks - Contains my jupyter notebooks that I prepared for taking learning and practice notes while doing many MOOCs and turorials online. I will link and refer materials and citations in the readme. A good starting place for people who want a quick and "head-first" take on Jupyter Notebooks.
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data-science-study-guide - My self-study syllabus for data science and machine learning. I also added free and paid resources that will come in handy. You may use these by following my plan or create your own self study plan.
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exploring-popular-datasets - Here I explore some of the most popular datasets used for learning ML. I will be using mostly scikit-learn and Numpy, Scipy or Matplotlib. This repo is intended for beginners who are getting started with Machine Learning.
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learning-tensorflow - Contains my study notes on tensorflow, taken while learning Tensorflow from Google's machine learning crash course. I am not sharing any answers or solutions to any excercise problems, just basic concepts, tips and tricks.
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ml-concepts - Here I explain core concepts in Machine Learning with code examples in Scikit-learn.