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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

4.1
36 個評分
7 條評論

課程概述

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 7 個評論(共 7 個)

創建者 Cristian-Mugurel D

2020年6月23日

i was hoping fore more

創建者 Semo

2020年6月27日

Course content not matching description.

創建者 Cherry I T

2020年7月5日

Nice application

創建者 yembuluru r

2020年5月8日

This course is helpful to my competitive interview

創建者 Nirzaree

2021年3月2日

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

2020年10月24日

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

2020年7月7日

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