YoVDO

Decision Tree and Random Forest Classification using Julia

Offered By: Coursera Project Network via Coursera

Tags

Julia Courses Data Science Courses Classification Courses Decision Trees Courses Random Forests Courses

Course Description

Overview

This guided project is about glass classification using decision tree classification and random forest classification in Julia. It is ideal for beginners who do not know what decision trees or random forests are because this project explains these concepts in simple terms. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special features: 1) Simple explanations of important concepts. 2) Use of images to aid in explanation. 3) Challenges to ensure that the learner gets practice. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Syllabus

  • Project Overview
    • By the end of this project you will learn how to use Julia for classification problems using decision trees and random forests.

Taught by

Vinita Silaparasetty

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