Create a template and directory for algorithm

See cognoma#27

algorithms/README.md

@@ -0,0 +1,17 @@
+# Notebooks implementing various sklearn classifiers
+
+This directory hosts notebooks created in response to [Issue #27](https://github.com/cognoma/machine-learning/issues/27#issuecomment-238255454 "cognoma/machine-learning: Claim an sklearn algorithm to implement and troubleshoot") where team members can claim and implement an algorithm.
+
+The recommended approach is to copy `SGDClassifier-template.ipynb` to a file named `algorithm-username.ipynb` and modify the newly created file. Implementations are encouraged to use grid search to find optimal algorithm hyperparameters. Finally, make sure you're using the `cognoma-machine-learning` conda environment described in the [README](https://github.com/cognoma/machine-learning/tree/5eadf0309a409b08fc17d81b36b9c4bcd7acb916#environment).
+
+Once you've finished your notebook, you should run (from this directory):
+
+```sh
+# Restart and run all cells in your notebook
+jupyter nbconvert --inplace --execute --ExecutePreprocessor.timeout=-1 algorithm-username.ipynb
+
+# Export notebook to a .py script for diff viewing
+jupyter nbconvert --to=script --FilesWriter.build_directory=scripts algorithm-username.ipynb
+```
+
+Then you can submit a pull request.