Understanding Decision Trees

This course will provide learners an in-depth understanding of decision tree algorithm and its practical implementation in a real-world based business case.

  • icon-videos 2 Videos
  • icon-data 6 Data Cases
  • icon-reading 2 Readings
  • icon-quiz 4 Quizzes
Understanding Decision Trees
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    Difficulty: Intermediate

    Foundational knowledge or experience in statistics or analytics is recommended.

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    Duration: Approximately 8.5 hours

Course Overview

  • Decision trees are fundamentally strong, easy to interpret algorithms that have always been centered in the curriculum for applied machine learning.
  • The decision tree splits the dataset multiple times based on a series of decisions efficiently representing the data and making predictions.
  • Learn the theoretical concept behind decision trees and its working with the help of visualizations.
  • Gain practical experience by applying the understanding in 4 real-world based business scenarios.

What’s included

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Lifetime Access

Access this project for life once completed

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Flexible Scheduling

Start learning online immediately, at your own pace

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Desktop Only

We recommend completing this project on a desktop

Skills You Will Learn

Decision Tree Regressor Model Building

Exploratory Data Analysis

Decision Tree Classifier Model Building

Data Clearning

Model Validation and Evaluation

Associated Learning Tracks

Syllabus

In this module, learn Decision Trees, Tree splitting and how to train a Decision Tree Classifier.

In this module, learn the concepts of Decision Tree regressor and practice through hands-on approach.

How it Works

Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.

With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.

Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.

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Head Data and Analytics at CitiBank India

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Student At Ohio Wesleyan University
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Rolai’s patented process provides a personalized learning process for each user. Rolai goes deeper than simply learning concepts and testing your skills. At Rolai, learners can apply their skills to actual industry use cases and projects.

Our courses include readings, videos, quizzes, and hands-on data cases that are completed using our virtual lab; give learners an applied learning experience.

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