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1. StanfordDeepLearningTutorial StanfordDeepLearningTutorial Public

   This is all the MATLAB code I wrote for Stanford's Deep Learning Tutorial, applied to image classification.

   MATLAB 3 2

2. useful_python_snippets useful_python_snippets Public

   This repo has useful python snippets: pandas, stats, regression, etc

   Python 3 2

3. pandas-example pandas-example Public

   This is an iPython Notebook where we do some time series analysis using Python's pandas.

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4. tidy-data tidy-data Public

   Forked from hadley/tidy-data

   A paper on data tidying

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5. classification-with-scikit-learn-for-Python classification-with-scikit-learn-for-Python Public

   This is a module I wrote to train a L1-logistic regression classifier, do cross validation to optimize parameters and decision threshold, given a scoring function.

   Python

6. Fukushima-data-analysis Fukushima-data-analysis Public

   This is an analysis of the radiation levels surrounding the Fukushima Nuclear plant, one year after the disaster in March 2011.

   Python