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Data Science solutions, notebooks, and cheat sheets with focus on Python and R.

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Data-Science

Storage for simple data science tips and tricks, or full projects, that I've dealt with before. Updated as I sort through the large backlog of stuff I just have sitting on my harddrive.

EDIT: As of 7/9/2017, I've noticed the French election data is rehosted on Kaggle. I'll be switching my focus for the next few days to taking another crack at it.

As of right now (7/3/17) here is the general organizational plan:

-The folder "Introduction to Statistical Learning with R" contains R programming exercise solutions to the textbook of the same name. It also includes a few examples where I redid an exercise with a different method (for example a simple NN) to look for improvements and teach myself some new techniques.

-A folder containing a collection of neat tutorials and cheat sheets that I've either come across or made myself.

-Kaggle junk

Current priority is finishing up the ISLR folder, and putting together a few cheat sheets from my assembled notes. First sheet will be on SQL and is almost done.

Here's a brief list of what I still have to clean up/sort through and upload:

-Chapter solutions from ISLR Chapters 5, 7, 8, 9, 10

-SQL helpful guide and tricks

-Code for Andrew Ng's ML Coursera Course and code for Hinton's Neural Networks Coursera Course

-Two python done Kaggle competitions

-Some random scripts from CRF stuff

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