Machine Learning

Introduction to Decision Trees


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About this course

Tree-based models are really important in the field of machine learning because we can perform both regression and classification with them. In this course, we shall comprehensively learn about tree based models. We shall start off by looking at the decision tree structure. Then we shall learn about concepts such as Gini Index, Entropy, Loss Function and Information Gain. Finally, we shall also look at some advantages and disadvantages of decision trees. Overall, this course will get you started with all the fundamentals about the tree based models.


  • Entropy
  • Loss Function
  • Information Gain

Course Syllabus

Introduction to Decision Trees

  • Introduction to Decision Trees Part 1
  • Introduction to Decision Trees Part 2

Course Certificate

Get Introduction to Decision Trees course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

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