Decision Tree and Random Forest Classification using Julia

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12 个评分
提供方
Coursera Project Network
在此指导项目中,您将:

Learn about stumps, decision trees and random forests.

Learn how to check the performance of a decision tree and random forest.

Work with a real world dataset.

Clock1 hour 30 minutes
Beginner初级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

  • Decision Tree
  • Data Analysis
  • Random Forest
  • Classification Algorithms
  • julia

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Learn about stumps and their importance.

  2. Learn how to build a decision tree.

  3. Learn how to prune a decision tree.

  4. Learn how to build a random forest.

  5. Learn how to do hyper parameter tuning

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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