Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 51 Minute(s)
Language
English
Taught by
Analytics Vidhya
Rating
3 views
Course Overview
Learn the basics of Decision Trees - a popular and powerful machine learning algorithm and implement them using Python
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
Course Content
- 1 section(s)
- 10 lecture(s)
- Section 1 Getting Started with Decision Tree
What You’ll Learn
- Basics of Decision Trees
- How to Apply Decision Trees to build Machine Learning models
- Building Decision Tree models in Python
- How to improve and optimize your decision tree models
Reviews
-
DDemetrio Basil Tzitzivacos
understandable
-
HHarianto Tanudjaja
Simple and Good Explanation Easy to follow for beginner
-
MMarco Ycaza Lengua
I thought the implementation of the algorithm was going to be from scratch but instead sklearn was used directly.
-
VVibhor Jain
Loving the simple examples in the course!
