Skip to content

amueller/odscon-sf-2015

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
data
data
 
 
.gitignore
.gitignore
 
 
01 - Introduction to Scikit-learn.ipynb
01 - Introduction to Scikit-learn.ipynb
 
 
02 - Unsupervised Transformers.ipynb
02 - Unsupervised Transformers.ipynb
 
 
03 - Cross-validation.ipynb
03 - Cross-validation.ipynb
 
 
04 - Grid Searches for Hyper Parameters.ipynb
04 - Grid Searches for Hyper Parameters.ipynb
 
 
05 - Preprocessing and Pipelines.ipynb
05 - Preprocessing and Pipelines.ipynb
 
 
06 - Working With Text Data.ipynb
06 - Working With Text Data.ipynb
 
 
07 - Feature Union.ipynb
07 - Feature Union.ipynb
 
 
08 - Out Of Core Learning.ipynb
08 - Out Of Core Learning.ipynb
 
 
09 - Out Of Core Learning for Text.ipynb
09 - Out Of Core Learning for Text.ipynb
 
 
LICENSE
LICENSE
 
 
Readme.md
Readme.md
 
 
machine-learning-with-scikit-learn-odscon-SF-2015.odp
machine-learning-with-scikit-learn-odscon-SF-2015.odp
 
 
machine-learning-with-scikit-learn-odscon-SF-2015.pdf
machine-learning-with-scikit-learn-odscon-SF-2015.pdf
 
 
todo.rst
todo.rst
 
 

Repository files navigation

Slides and Notebooks for Open Data Science Conference

Materials for the Scikit-learn tutorial at ODSC SF. Please download the materials and install scikit-learn and the jupyter notebook to follow along. Please use Jupyter / IPython in Version 4.0 or higher. The tutorial requires scikit-learn 0.15 or higher (current is 0.17).

Please check back for changes to the material. It is recommended to update right before the tutorial.

About

Material for ODSCON San Francisco 2015

Resources

Readme

License

CC0-1.0 license
Activity

Stars

79 stars

Watchers

15 watching

Forks

64 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages