Machine Learning: Random Forest, Adaboost & Decision Tree
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Learn Advanced Machine Learning on Random Forest, Adaboost, Decision Trees Hands-on
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
Description
Who this course is for:
For More Courses Visit & Bookmark Your Preferred Language Blog
From Here: – – – – – – – –
