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readme.txt

This repo contains examples of running some examples of scikit-learn:

- Naive Bayes (works best)
- Linear Regression
- Logistic Regression
- SVM
- GBRT (works worst)

The use-case is: Predict S&P 500 for 2015 from data between 1987 and 2014.

To run these demos you should install Anaconda Python on Mac or Linux.

Then run shell script:

./runem.bash

If you have questions, e-me: bikle101@gmail.com

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