Bagged Trees using Scikit-Learn (Python)

Published: 20 October 2020
on channel: Michael Galarnyk

3,242

This is a free preview video from the Machine Learning with Scikit-Learn LinkedIn Learning Course: / effective-machine-learning-with-scikit-learn .
Code here: https://github.com/mGalarnyk/Python_T....

Each machine learning algorithm has strengths and weaknesses. A weakness of decision trees is that they're prone over fitting on the training set. A way to mitigate this problem, is to constraint how large a tree can grow. Bagged trees try to overcome this weakness by using bootstrapped data, to grow multiple deep decision trees. Bagged trees are an ensemble model which means that many models each other from individual weaknesses. What this image thumbnail shows is that multiple decision trees come together to make a combined prediction. In this video, I'll share with you how you can build a Bagged Tree Model using Scikit-Learn.

On this page of the site you can watch the video online Bagged Trees using Scikit-Learn (Python) with a duration of hours minute second in good quality, which was uploaded by the user Michael Galarnyk 20 October 2020, share the link with friends and acquaintances, this video has already been watched 3,242 times on youtube and it was liked by 12 viewers. Enjoy your viewing!

1,090