Tutorial: Playing with the Boston Housing Data

From dftwiki3
Revision as of 16:21, 8 August 2016 by Thiebaut (talk | contribs)
Jump to: navigation, search

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


Deep Neural-Network Regressor (DNNRegressor from Tensorflow)


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


We use the Boston housing prices data for this tutorial.
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...)



Building a Linear Regression Model with SKLearn on the Boston Data


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


We also use the Boston housing prices data for this tutorial.
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...)