返回到 Predict Housing Prices in R on Boston Housing Data
学生对 Coursera Project Network 提供的 Predict Housing Prices in R on Boston Housing Data 的评价和反馈
35 个评分
课程概述
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.
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1 - Predict Housing Prices in R on Boston Housing Data 的 6 个评论（共 6 个）
创建者 Cristian-Mugurel D
•Jun 23, 2020
i was hoping fore more
创建者 Semo
•Jun 27, 2020
Course content not matching description.
创建者 Cherry I T
•Jul 5, 2020
Nice application
创建者 yembuluru r
•May 8, 2020
This course is helpful to my competitive interview
创建者 Anca V
•Oct 24, 2020
Absolutely useless project. Do not waste your 10$. The course objectives are all wrong + it's not actually for predicting housing prices! The instructor doesn't even properly explain stuff AND he doesn't use ggplot (which for some reason appears in the quiz)
创建者 Yangpeiyun X
•Jul 7, 2020
Nothing about Housing Data. It is all about predicting the age of the house.
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