Machine Learning Intro for CloudQuant and Jupyter Notebooks
I think Apple MLCode may be adequate as I posted last week
This came in from someone on my Facebook. Video description:
Trevor Trinkino, a quantitative analysts and trader at Kershner Trading Group recently put together an introduction to Machine Learning utilizing CloudQuant and Jupyter Notebooks. In this video he walks you through a high-level process for implementing machine learning into a trading algorithm, using CloudQuant’s trading strategy online tools and the Numpy, Pandas and SKLearn python libraries. The focus is on ensemble methods and utilizing SKLearn’s Random Forest Classifier to create a stronger alpha signal during a reversal setup.
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