Scikit-learn Workshop. Interactive Jupyter notebooks to learn machine learning hands-on.

github.com/amueller/sklearn_workshop

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Vaya's read on this project

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Updates

November 2015

fix "scatters" in load_iris solution. Nov 27

October 2015

remove todo Oct 13
update readme Oct 13
add text pipeline solutions Oct 13
minor fixes, add text data notebook Oct 13

September 2015

do grid-search exercise with knn, not rf Sep 30
add linear models exercises Sep 30
add excercises to trees Sep 30
add examples to svm Sep 30
try to fix interactive forest plot, then give up Sep 30
add bad examples to trees Sep 30
clear linear models use nbagg in 09. Sep 29
move learning_curve to validation_curve solutoin Sep 29
clean model complexity, rename learning_curve_svc to learning_curve Sep 29
add validation curve stuff, update todo Sep 29
move stuff around, add model complexity, add svm, trees, linear models Sep 29
fix formating in api summary Sep 29
added some figures, removed randomized search Sep 29
actually load data from github, some cleanup Sep 29
add out of core learning Sep 29