What’s bad? A badly chosen ML algorithm. What’s better? A well-chosen ML algorithm. What’s even better? A whole bunch of algorithms working together to get an optimal result from a bunch of different predictions.

In this full-code tutorial, you’ll learn about bagging, boosting, and how random forests pull together decisions from multiple decision trees to give you a result.

https://github.com/mikeusru/scikit-learn-training/blob/main/ensemble_learning.ipynb