Our Decision Tree and Random Forest Training course is here to help you design and implement the solution to a famous problem in machine learning!
You will learn to understand 2 great Machine Learning techniques, decision trees and random forests.
This course is led by a Stanford-educated, ex-Googler, IIT, IIM – educated ex-Flipkart lead analyst that will teach you everything you need to know!
You do not need any prior experience to take this course, however some knowledge of undergraduate level Mathematics would be helpful to you (however it is not mandatory). You do not need knowledge of Python, but again it would be helpful for you to understand the provided source code and perform the coding exercise.
You will get 12 months worth of access to this 5 course course, covering 3 chapters of valuable information!
Some of the subjects you will get to learn about are:
-What are Decision Trees?
-Decision Tree Algorithms
-Installing Python
-Decision Trees predict Survival
-Overfitting
-Cross-Validation
And much more!
Sign up now!
What’s Included?
Unlimited access for 12 months
Access anywhere, any time
Fast effective training, written and designed by industry experts
Track your progress with our Learning Management System
Unlimited support
Save money, time and travel costs
Learn at your own pace and leisure
Easier to retain knowledge and revise topics than traditional methods
Exam preparation quizzes, tests and mock exams to ensure that you are 100% ready
£21.95Add to basket
