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mglearn
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00 - Prerequisites.ipynb
00 - Prerequisites.ipynb
 
 
01a - Introduction - Python.ipynb
01a - Introduction - Python.ipynb
 
 
01a - Introduction - Python.pdf
01a - Introduction - Python.pdf
 
 
01b - Introduction - Scientific Python.ipynb
01b - Introduction - Scientific Python.ipynb
 
 
01b - Introduction - Scientific Python.pdf
01b - Introduction - Scientific Python.pdf
 
 
01c - Introduction - scikit-learn.ipynb
01c - Introduction - scikit-learn.ipynb
 
 
01c - Introduction - scikit-learn.pdf
01c - Introduction - scikit-learn.pdf
 
 
01d - Introduction - OpenML.ipynb
01d - Introduction - OpenML.ipynb
 
 
01d - Introduction - OpenML.pdf
01d - Introduction - OpenML.pdf
 
 
02-supervised-learning.ipynb
02-supervised-learning.ipynb
 
 
02-supervised-learning.pdf
02-supervised-learning.pdf
 
 
02b-model-selection.ipynb
02b-model-selection.ipynb
 
 
02b-model-selection.pdf
02b-model-selection.pdf
 
 
03-unsupervised-learning.ipynb
03-unsupervised-learning.ipynb
 
 
04-representing-data-feature-engineering.ipynb
04-representing-data-feature-engineering.ipynb
 
 
05-model-evaluation-and-improvement.ipynb
05-model-evaluation-and-improvement.ipynb
 
 
06-algorithm-chains-and-pipelines.ipynb
06-algorithm-chains-and-pipelines.ipynb
 
 
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OpenML Introduction.pdf
OpenML Introduction.pdf
 
 
README.md
README.md
 
 
Scikit-learn.ipynb
Scikit-learn.ipynb
 
 
data.csv
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mytree.dot
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plot_classifier_comparison.ipynb
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preamble.py
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Machine Learning Introduction

Jupyter notebooks for teaching machine learning. Based on scikit-learn, with OpenML used to experiment more extensively on many datasets.

Sources

We use many code examples from the following excellent book. We urge you to read it for a more complete coverage of machine learning in Python:

"Introduction to Machine Learning with Python" by Andreas Mueller and Sarah Guido. You can find details about the book on the O'Reilly website. We'll be using the included mglearn package to make plotting easier.

Additional code examples originate from the following books (again, warmly recommended):

"Python machine learning" by Sebastian Raschka: Raschka, Sebastian. Python machine learning. Birmingham, UK: Packt Publishing, 2015..

"Python for Data Analysis" by Wes McKinney: McKinner, Wes. Python for Data Analysis. O’Reilly, 2012..

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A collection of notebooks for teaching machine learning with OpenML.

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