Predict Ideal Diamonds over Good Diamonds using a Random Forest using R

4.8
30 个评分
提供方
Coursera Project Network
在此指导项目中,您将:

Complete a random Training and Test Set from one Data Source using an R function.

Practice creating a Factor/Binary Variable on a data set.

Apply a Random Forest model and evaluate its results.

Clock2 Hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

In this 1-hour long project-based course, you will learn how to (complete a training and test set using an R function, practice looking at data distribution using R and ggplot2, Apply a Random Forest model to the data, and examine the results using RMSE and a Confusion Matrix). Note: This course 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

  • Random Forest
  • Data Science
  • Data Analysis
  • Machine Learning

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. The Learner will get practice sampling a larger data set in R.

  2. The Learners will get practice doing creating a Categorical Variable in R.

  3. The Learner will get experience creating Testing and Training Data Sets.

  4. The Learner will get experience with the syntax of the Caret, an R package

  5. The Learner will evaluate the models accuracy using a Confusion Matrix.

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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