PyData San Francisco 2016 - ARIMA Tutorial

Shortlink: http://bit.ly/svds-pydata-ts

git clone [email protected]:silicon-valley-data-science/pydata-sf-2016-arima-tutorial.git

Requirements (Anaconda/conda install) plus one bleeding edge :

pip install --pre statsmodels --upgrade

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
data		data
img		img
.gitignore		.gitignore
README.md		README.md
Section_1_Introduction_tutorial.ipynb		Section_1_Introduction_tutorial.ipynb
Section_2_ARIMA_Models_tutorial.ipynb		Section_2_ARIMA_Models_tutorial.ipynb
Section_3_ARIMA_Modeling_tutorial.ipynb		Section_3_ARIMA_Modeling_tutorial.ipynb
Section_4_SARIMA_tutorial.ipynb		Section_4_SARIMA_tutorial.ipynb
Section_5_ClosingRemarks_tutorial.ipynb		Section_5_ClosingRemarks_tutorial.ipynb