Material for Scikit-learn workshop

Jupyter notebooks for an interactive scikit-learn workshop with exercises and solutions.

Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
data		data
figures		figures
plots		plots
solutions		solutions
.gitignore		.gitignore
01 - Intro to Machine Learning.ipynb		01 - Intro to Machine Learning.ipynb
02 - First Steps.ipynb		02 - First Steps.ipynb
03 - Unsupervised Transformers.ipynb		03 - Unsupervised Transformers.ipynb
04 - API Summary.ipynb		04 - API Summary.ipynb
05 - Cross-validation.ipynb		05 - Cross-validation.ipynb
06 - Model Complexity.ipynb		06 - Model Complexity.ipynb
07 - Grid Searches for Hyper Parameters.ipynb		07 - Grid Searches for Hyper Parameters.ipynb
08 - Preprocessing and Pipelines.ipynb		08 - Preprocessing and Pipelines.ipynb
09.1 - Linear models.ipynb		09.1 - Linear models.ipynb
09.2 - Support Vector Machines.ipynb		09.2 - Support Vector Machines.ipynb
09.3 - Trees and Forests.ipynb		09.3 - Trees and Forests.ipynb
10 - Working With Text Data.ipynb		10 - Working With Text Data.ipynb
11 - Out Of Core Learning.ipynb		11 - Out Of Core Learning.ipynb
LICENSE		LICENSE
README.md		README.md

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