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Retour à Data Analytics: Scraping Data using Hadley Wickam's Rvest package in R

Avis et commentaires pour d'étudiants pour Data Analytics: Scraping Data using Hadley Wickam's Rvest package in R par Coursera Project Network

4.2
étoiles
39 évaluations
10 avis

À propos du cours

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 using the FFTrees package in R, and examine the results using 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....

Meilleurs avis

VP
21 juin 2020

Thank you so much for this project. It was really helpful. The style of teaching is 10/10.\n\nLooking forward to the next session.

PN
22 août 2020

Very useful and easy to understand project.Thank you

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1 - 10 sur 10 Avis pour Data Analytics: Scraping Data using Hadley Wickam's Rvest package in R

par Vikash P

22 juin 2020

Thank you so much for this project. It was really helpful. The style of teaching is 10/10.

Looking forward to the next session.

par Phuong A N

23 août 2020

Very useful and easy to understand project.Thank you

par Abdullah B H

15 juil. 2020

Everything was great....new experience!

par Cherry I T

5 juil. 2020

you must learn

par Raisa N E

18 nov. 2020

good!

par p s

26 juin 2020

Good

par tale p

24 juin 2020

good

par Max

16 sept. 2020

"practice looking at data distribution using R and ggplot2,

Apply a Random Forest model to the data using the FFTrees package in R, and examine the results using a Confusion Matrix."

Where is that in the course? I just saw an overview and some practice with Rvest package, but beyond that there was no RF, ggplot2 nor confusion matrix.

par Mayank A

24 juin 2020

It was a very quick overview of how to scrape the data. The instructor could have saved an R script on the desktop for learner's quick access.

par Paolo O

30 oct. 2020

I found it a loss of time and bit frustrating. What it takes 2 hours here (and more to figure out what's not working if you run on a different R version) it can be better achieved with a few minutes of good reading. No concepts explained!