My solution to SK planet Code Sprint 2013 Round 2
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slides
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Basemodel.ipynb
Basemodel.py
Bayesian Approach.ipynb
Bayesian Approach.py
Data Analysis.ipynb
Data Analysis.py
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README.md

README.md

Code Sprint 2013 Round 2

My source code for SK planet Code Sprint 2013 Round 2. The .py files with same name as the iPython notebook files are generated by saving the iPython notebook as .py file. They are there just for the convenience.

  • Data Analysis contains the basic analysis of the given data. It contains some pictures and even an animation.
  • Basemodel depicts how the base model came to be. The decision of median over average and weekdays over whole week based on the data.
  • Bayesian Approach shows you a generative approach to the problem.

Refer to http://blog.shurain.net/2013/07/code-sprint-2013-round-2.html and http://blog.shurain.net/2013/08/code-sprint-2013-round-2-post-mortem.html for more explanation.