Getting Started with Decision Trees

Learn the basics of Decision Trees and implement using Python – Free Course

Deal Score+6

What you’ll learn

  • Basics of Decision Trees

Requirements

  • This course requires you to know basic Machine Learning algorithms like Linear Regression, Logistic Regression
  • Familiarity with Python would be an advantage

Description

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

Author(s): Analytics Vidhya

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