GitHub - ColCarroll/pydata_nyc2017: Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
images		images
slides		slides
thumbs		thumbs
Bayesian Regression.ipynb		Bayesian Regression.ipynb
Bayesian_Regression_slides.html		Bayesian_Regression_slides.html
Exercise 1 Solution.ipynb		Exercise 1 Solution.ipynb
Exercise 1.ipynb		Exercise 1.ipynb
Exercise 2 Solution.ipynb		Exercise 2 Solution.ipynb
Exercise 2.ipynb		Exercise 2.ipynb
Exercise 3 Solution.ipynb		Exercise 3 Solution.ipynb
Exercise 3.ipynb		Exercise 3.ipynb
Exercise 4 Solution.ipynb		Exercise 4 Solution.ipynb
Exercise 4.ipynb		Exercise 4.ipynb
Exercise 5 Solution.ipynb		Exercise 5 Solution.ipynb
Exercise 5.ipynb		Exercise 5.ipynb
Exercise 6 Solution.ipynb		Exercise 6 Solution.ipynb
Exercise 6.ipynb		Exercise 6.ipynb
Exercise 7 Solution.ipynb		Exercise 7 Solution.ipynb
Exercise 7.ipynb		Exercise 7.ipynb
Introduction.ipynb		Introduction.ipynb
LICENSE		LICENSE
Linear Regression.ipynb		Linear Regression.ipynb
Linear_Regression_slides.html		Linear_Regression_slides.html
Probabilistic Programming.ipynb		Probabilistic Programming.ipynb
Probabilistic_Programming_slides.html		Probabilistic_Programming_slides.html
PyMC3.png		PyMC3.png
README.md		README.md
bayesian_reg.png		bayesian_reg.png
day_length.csv		day_length.csv
environment.yml		environment.yml
index.html		index.html
line.svg		line.svg
noisyData.js		noisyData.js
requirements.txt		requirements.txt
utils.py		utils.py

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