On May 15th Trevor Trinkino presented part two of a three-part Machine Learning webinar with FXCM.
Part one is here.
Part 2 – Preprocess data for Random Forest. PnL and prediciton improvements…
In part two Trevor goes over how to clean and pre-process data from CloudQuant to use in a Random Forest Classifier. He then looks at the prediction and PnL improvements seen from utilizing this classifier as well as adjusting the hyper-parameters of the model.
Files mentioned in the video are available from our Google Drive below..
Ipython NotebookTrades.csvFilteredClfFeatsBF100_50.csvMLClassData.csv
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