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學生對 Coursera Project Network 提供的 Predict Housing Prices in R on Boston Housing Data 的評價和反饋

36 個評分
7 條評論


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....

1 - Predict Housing Prices in R on Boston Housing Data 的 7 個評論(共 7 個)

創建者 Cristian-Mugurel D


i was hoping fore more

創建者 Semo


Course content not matching description.

創建者 Cherry I T


Nice application

創建者 yembuluru r


This course is helpful to my competitive interview

創建者 Nirzaree


1.The title of the course is wrong. There is no predicting house prices. Its just building a model to estimate age as a function of other features.

2. Even the quiz has a question which is not relevant (the instructor is not using geom_bar) anywhere.

3. I would expect a project to do some deep dive in model building, tuning, the bits that are generally slightly more complex than just applying 3 model formulas and just plotting the results.

創建者 Anca V


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)

創建者 Yangpeiyun X


Nothing about Housing Data. It is all about predicting the age of the house.