Decision Tree algorithm is one of the most powerful algorithms in machine learning and data science. It is very commonly used by data scientists and machine learning engineers to solve business problem and explain that to your customers easily. This course will introduce you to the concept of Decision Trees and teach you how to build one using Python
Why learn about Decision Trees?
Decision Trees are the most widely and commonly used machine learning algorithms.
It can be used for solving both classification as well as regression problems.
Decision Trees are easy to interpret and hence have multiple applications around different industries.
What would you learn in Getting started with Decision Tree course?
Introduction to Decision Trees
Terminologies related to decision trees
Different splitting criterion for decision tree like Gini, chi–square, etc.
Implementation of decision tree in Python
Instructor Details
Courses : 2
Specification: Getting Started with Decision Trees
|
1 review for Getting Started with Decision Trees
Add a review Cancel reply
This site uses Akismet to reduce spam. Learn how your comment data is processed.
Price | $9.99 |
---|---|
Provider | |
Duration | 1 hour |
Year | 2020 |
Level | Beginner |
Language | English |
Certificate | Yes |
Quizzes | Yes |
$84.99 $9.99
Radhakrishnan Jagadeesan –
I am a learner of data science and this brief training material has instigated my curiosity to learn more. thanks a lot for such a wonderful training session.