Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
images		images
0-Intro-Day-1-v2.ipynb		0-Intro-Day-1-v2.ipynb
1-EX-Software-Checkout-v2.ipynb		1-EX-Software-Checkout-v2.ipynb
10-Classifiers-v1.ipynb		10-Classifiers-v1.ipynb
11-EX-binary-logistic-regression-v1.ipynb		11-EX-binary-logistic-regression-v1.ipynb
12-EX-Classifier-Performance-Measurement-v1.ipynb		12-EX-Classifier-Performance-Measurement-v1.ipynb
13-EX-SVM-v2.ipynb		13-EX-SVM-v2.ipynb
13.5-SVM-part-2-v1.ipynb		13.5-SVM-part-2-v1.ipynb
14-A-Little-Bayes-Intro-v1.ipynb		14-A-Little-Bayes-Intro-v1.ipynb
15-EX-Naive-Bayes-Classifier-v1.ipynb		15-EX-Naive-Bayes-Classifier-v1.ipynb
16-EX-Trees-v1.ipynb		16-EX-Trees-v1.ipynb
17-EX-Bagging-Random-Forest-v1.ipynb		17-EX-Bagging-Random-Forest-v1.ipynb
18-EX-Boosting-v1.ipynb		18-EX-Boosting-v1.ipynb
18.5-EX-Voting-v1.ipynb		18.5-EX-Voting-v1.ipynb
19-NN-Intro-v1.ipynb		19-NN-Intro-v1.ipynb
2-EX-Regression-v1.ipynb		2-EX-Regression-v1.ipynb
20-Backprop-v2.ipynb		20-Backprop-v2.ipynb
21-EX-MLP-v1.ipynb		21-EX-MLP-v1.ipynb
22-CNN-v2.ipynb		22-CNN-v2.ipynb
23-EX-CNN-v1.ipynb		23-EX-CNN-v1.ipynb
24-EX-Unsuper-Reduction-v1.ipynb		24-EX-Unsuper-Reduction-v1.ipynb
24.5-Silhouette-v1.ipynb		24.5-Silhouette-v1.ipynb
3-Cross-Validation-Intro-v1.ipynb		3-Cross-Validation-Intro-v1.ipynb
4-EX-Regression-Validation-Set-v1.ipynb		4-EX-Regression-Validation-Set-v1.ipynb
5-EX-Regression-K-fold-Cross-Validation-v2.ipynb		5-EX-Regression-K-fold-Cross-Validation-v2.ipynb
6-Regularization-Identification-Data-Leakage-v1.ipynb		6-Regularization-Identification-Data-Leakage-v1.ipynb
7-EX-Rescaling-with-cross-validation-v1.ipynb		7-EX-Rescaling-with-cross-validation-v1.ipynb
8-EX-Ridge-v1.ipynb		8-EX-Ridge-v1.ipynb
9-EX-Lasso-eNet-v1.ipynb		9-EX-Lasso-eNet-v1.ipynb
99-Wrap-Up Things Left Untouched -v1.ipynb		99-Wrap-Up Things Left Untouched -v1.ipynb
DeCart2019 Machine Learning Resources.ipynb		DeCart2019 Machine Learning Resources.ipynb
README.md		README.md
kmeansplots.py		kmeansplots.py
plot_kmeans_silhouette_analysis.py		plot_kmeans_silhouette_analysis.py
silhouette_plot_v2.py		silhouette_plot_v2.py

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DeCART_ML_2019

This is the repo for the 2019 DeCART Machine Learning Workshop.

All materials here are new instructional materials, and may not be devoid of warts and pimples.

All materials Creative Commons CC BY 4.0 Lynd Bacon & Associates, Ltd. Not warranted to be suitable for any particular purpose. (You're on your own!)

UUDeCART/DeCART_ML_2019

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