Random Forest, Adaboost & Decision Trees in Machine Learning

[ FreeCourseWeb.com ] Random Forest, Adaboost & Decision Trees in Machine Learning



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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 22 lectures (2 hour, 58 mins) | Size: 1.82 GB

Learn Machine Learning on Random Forest, Adaboost, Decision Trees

What you'll learn



Knowing how to write a Python code for Random Forests.

Implementing AdaBoost using Python.

Having a solid knowledge about decision trees and how to extend it further with Random Forests.

Understanding the Machine Learning main problems and how to solve them.

Understanding the differences between Bagging and Boosting.

Reviewing the basic terminology for any machine learning algorithm.



Requirements



Python basics

NumPy, Matplotlib, Sci-Kit Learn

Basic Probability and Statistics



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