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 Ideally, this project would help make these tools more accessible for those learning to apply machine learning to financial markets.

+*TODO: showcase quant functions and extend database usage examples.*
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 ## Ensemble Research

 Using a basic list of six standard Sci-kit Learn ensemble methods, we can explore the effectiveness of these off-the-shelf models. Out of the box, these models can achieve 65-75% accuracy but could be improved by manipulating learning rates, increasing the number of estimators, or for some models, including a base estimator; i.e. another predictive model that improves the Booster's reliability.