From 948ad90df3b7b496048c11d5fdf4a089818e7169 Mon Sep 17 00:00:00 2001 From: Peter Newell Date: Tue, 22 May 2018 21:02:36 +0800 Subject: [PATCH] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index ad35d53..69737a8 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,8 @@ This project provides several examples of common machine learning models applied 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.* + ## 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.