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Title: GitHub - AkiraKane/DataSciencePython: common data analysis tasks using python

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Description: common data analysis tasks using python. Contribute to AkiraKane/DataSciencePython development by creating an account on GitHub.

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19 Commitshttps://github.com/AkiraKane/DataSciencePython/commits/master/
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Logistic Regression with StatsModelshttps://github.com/AkiraKane/DataSciencePython/tree/master/Logistic%20Regression%20with%20StatsModels
Logistic Regression with StatsModelshttps://github.com/AkiraKane/DataSciencePython/tree/master/Logistic%20Regression%20with%20StatsModels
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Quick Reference to Pythonhttp://www.dataschool.io/python-quick-reference/
awesome-pythonhttps://github.com/vinta/awesome-python
Pycon India 2015 Noteshttp://www.analyticsvidhya.com/blog/2015/10/notes-impressions-experience-excitement-pycon-india-2015/
Data Exploration with Numpy cheat sheethttp://www.analyticsvidhya.com/blog/2015/07/11-steps-perform-data-analysis-pandas-python
NLPhttp://www.datasciencecentral.com/profiles/blogs/python-nlp-tools
Querying Craiglist with Pythonhttp://chrisholdgraf.com/querying-craigslist-with-python/?imm_mid=0d8940&cmp=em-data-na-na-newsltr_20150916
Create NBA Shot Chartshttp://savvastjortjoglou.com/nba-shot-sharts.html
PythoR- Python meets Rhttp://nipunbatra.github.io/2016/01/pythor/
Awesome Tutorials!http://blog.kaggle.com/author/kevin-markham/
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SKLEARN BENCHMARKS: A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.https://github.com/rhiever/sklearn-benchmarks
Machine Learning with scikit learnhttp://www.dataschool.io/machine-learning-with-scikit-learn/
Cheatsheethttp://www.analyticsvidhya.com/blog/2015/09/full-cheatsheet-machine-learning-algorithms/
Linear Regression in Pythonhttp://nbviewer.ipython.org/github/justmarkham/DAT4/blob/master/notebooks/08_linear_regression.ipynb
Blog Posthttp://www.dataschool.io/linear-regression-in-python/
Logistic Regression with scikit learnhttp://www.dataschool.io/logistic-regression-in-python-using-scikit-learn/
Implementing a Neural Network from scratchhttp://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/
Codehttps://github.com/dennybritz/nn-from-scratch
Speeding up your Neural Network with Theano and the gpuhttp://www.wildml.com/2015/09/speeding-up-your-neural-network-with-theano-and-the-gpu/
Codehttps://github.com/dennybritz/nn-theano
Recurrent Neural Net Tutorial Part 1http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/
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