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

4.8
29 個評分
提供方
Coursera Project Network
在此指導項目中,您將:

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中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

Random ForestData ScienceData AnalysisMachine Learning

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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.

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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