Difference between revisions of "Tutorial: Playing with the Boston Housing Data"

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=Deep Neural Data Regressor=
 
=Deep Neural Data Regressor=
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This tutorial follows very closely two other good tutorials and merges elements from both:
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* https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/skflow/boston.py
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* http://bigdataexaminer.com/uncategorized/how-to-run-linear-regression-in-python-scikit-learn/
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<br />
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Both use the Boston housing prices data.
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<br />
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The tutorial is best viewed as a Jupyter notebook (available in zipped form below), or as a static pdf (you'll have to retype all the commands...)
 
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* [[Media:DNNRegressorBostonData.pdf | pdf]]
 
* [[Media:DNNRegressorBostonData.pdf | pdf]]

Revision as of 16:17, 8 August 2016

--D. Thiebaut (talk) 16:06, 8 August 2016 (EDT)


Deep Neural Data Regressor


This tutorial follows very closely two other good tutorials and merges elements from both:


Both use the Boston housing prices data.
The tutorial is best viewed as a Jupyter notebook (available in zipped form below), or as a static pdf (you'll have to retype all the commands...)