Difference between revisions of "Tutorial: Playing with the Boston Housing Data"
| Line 3: | Line 3: | ||
=Deep Neural Data Regressor= | =Deep Neural Data Regressor= | ||
| + | <br /> | ||
| + | |||
| + | This tutorial follows very closely two other good tutorials and merges elements from both: | ||
| + | <br /> | ||
| + | * https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/skflow/boston.py | ||
| + | * http://bigdataexaminer.com/uncategorized/how-to-run-linear-regression-in-python-scikit-learn/ | ||
| + | <br /> | ||
| + | Both use the Boston housing prices data. | ||
| + | <br /> | ||
| + | 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...) | ||
<br /> | <br /> | ||
* [[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:
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/skflow/boston.py
- http://bigdataexaminer.com/uncategorized/how-to-run-linear-regression-in-python-scikit-learn/
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...)
- Jupyter Notebook (Unzip before using)
