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bonus

change mlxtend.evaluate references to mlxtend.plotting

Apr 30, 2017

61a594e · Apr 30, 2017

Name		Name	Last commit message	Last commit date
parent directory ..
flask_webapp_ex01		flask_webapp_ex01	a simpler flask webapp template	Dec 15, 2015
images		images	softmax regression bonus notebook	Apr 2, 2016
sckit-model-to-json		sckit-model-to-json	bonus nb: scikit-learn and model persistence via JSON	Mar 24, 2016
README.md		README.md	softmax regression bonus notebook	Apr 2, 2016
logistic_regression.ipynb		logistic_regression.ipynb	logistic regression implementation	Dec 22, 2015
nested_cross_validation.ipynb		nested_cross_validation.ipynb	nested cv notebook	Dec 1, 2015
reading_mnist.ipynb		reading_mnist.ipynb	reading mnist notebook	Dec 29, 2015
scikit-model-to-json.ipynb		scikit-model-to-json.ipynb	change mlxtend.evaluate references to mlxtend.plotting	Apr 30, 2017
softmax-regression.ipynb		softmax-regression.ipynb	change mlxtend.evaluate references to mlxtend.plotting	Apr 30, 2017
svm_iris_pipeline_and_gridsearch.ipynb		svm_iris_pipeline_and_gridsearch.ipynb	added explanation about the GridSearchCV best_score_ attribute	Jan 20, 2016

README.md

Sebastian Raschka, 2015

Python Machine Learning - Code Examples

Bonus Material

A collection of additional notebooks and code examples to clarify and explain concepts based on reader feedback.

A Basic Pipeline and Grid Search Setup [GitHub ipynb] [nbviewer]
An Extended Nested Cross-Validation Example [GitHub ipynb] [nbviewer]
A Simple(r) Barebones Flask Webapp Template [view directory][download as zip-file]
Reading handwritten digits from MNIST into NumPy arrays [GitHub ipynb] [nbviewer]
Scikit-learn Model Persistence using JSON [GitHub ipynb] [nbviewer]
Multinomial logistic regression / softmax regression [GitHub ipynb] [nbviewer]