A Guide to Ensemble Learning, with my Cautions

Nicely done.  Ensemble methodology means using a number of different solution methods to solve a problem, and finding the best individual or combination of methods.  Caution must be taken to ensure that the assumptions for each method is reasonable, that the right metadata is available to apply the solution, and the solution is stable under its assumptions. 

Often this means that the model needs to be simplified to some degree.  Make sure the simplification is reasonable for purpose and that owners of the data and process agree.   Have seen reasonability slip away under pressure for a best solution.

Guide to Ensemble Learning with Python code, considerable depth, via O'Reilly

A Comprehensive Guide to Ensemble Learning (with Python codes)
By  Aishwarya Singh in Vidhya Learning ....