After posting my last blog, I decided next to do a 2-part series on XGBoost, a versatile, highly-performant, inter-operable machine learning platform. I'm a big fan of XGBoost and other multi-language ML packages such as H20, but generally test them in R environments. So, this time I've chosen to work in Python. My plan was to have the first blog revolve on data munging and exploration, with the…
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