Slides and Notebooks for Open Data Science Conference

See the "executed" folder for notebooks with output, that can be viewed directly on github.

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Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
data		data
executed		executed
.gitignore		.gitignore
LICENSE		LICENSE
Part 01 - Introduction to Scikit-learn.ipynb		Part 01 - Introduction to Scikit-learn.ipynb
Part 02 - Unsupervised Transformers.ipynb		Part 02 - Unsupervised Transformers.ipynb
Part 03 - Cross-validation.ipynb		Part 03 - Cross-validation.ipynb
Part 04 - Grid Searches for Hyper Parameters.ipynb		Part 04 - Grid Searches for Hyper Parameters.ipynb
Part 05 - Preprocessing and Pipelines.ipynb		Part 05 - Preprocessing and Pipelines.ipynb
Part 06 - Working With Text Data.ipynb		Part 06 - Working With Text Data.ipynb
Part 07 - Feature Union.ipynb		Part 07 - Feature Union.ipynb
Part 08 - Randomized Parameter Search.ipynb		Part 08 - Randomized Parameter Search.ipynb
Part 09 - Generalized Cross Validation.ipynb		Part 09 - Generalized Cross Validation.ipynb
Part 10 - Advanced Scoring.ipynb		Part 10 - Advanced Scoring.ipynb
Part 11 - Out Of Core Learning.ipynb		Part 11 - Out Of Core Learning.ipynb
Part 12 - Out Of Core Learning for Text.ipynb		Part 12 - Out Of Core Learning for Text.ipynb
Readme.md		Readme.md
machine-learning-with-scikit-learn-odscon-expanded.pdf		machine-learning-with-scikit-learn-odscon-expanded.pdf
machine-learning-with-scikit-learn-odscon.odp		machine-learning-with-scikit-learn-odscon.odp