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Avis et commentaires pour d'étudiants pour Predict Diabetes with a Random Forest using R par Coursera Project Network

4.5
étoiles
108 évaluations
17 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, 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....

Meilleurs avis

GB
10 juil. 2020

Thanks Chris Shockley Sir for such an interesting project..Thanks very much Coursera .Enjoyed a lot withe course

DD
29 avr. 2020

Nice explanatory project. Builds comfidence. Hoever, can add few more detaisl and time in last 2 step will help

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1 - 17 sur 17 Avis pour Predict Diabetes with a Random Forest using R

par Dr. J D

30 avr. 2020

Nice explanatory project. Builds comfidence. Hoever, can add few more detaisl and time in last 2 step will help

par Warunee S

3 juin 2020

This course is suitable for immediate program R

par Zan F B

8 juin 2020

Great tool for a general overview of how ML in R works, but not enough explanations.

par G.Indumathy

8 juin 2020

very useful to examine self and for our wishes

par APURVA H

22 mai 2020

Need a bit more explanation on the mathematics part

par Grace G N B

11 juil. 2020

Thanks Chris Shockley Sir for such an interesting project..Thanks very much Coursera .Enjoyed a lot withe course

par VARUN A

11 juin 2020

Nice and great explanation by the author, It will really help me in my career

par Gregory G J

5 janv. 2021

Thumbs Up!

par Priya U

2 sept. 2021

Awesome

par p s

22 juin 2020

Good

par tale p

13 juin 2020

good

par RASHIKA D

8 nov. 2020

It is a great course who are primarily familiar with ML algorithms and confusion matrices. This project provides a great understanding in model training, testing and checking accuracy of model on a relatively easy dataset. It would be desirable to learn a bit more out of this course like data pre-processing and correction of data imbalance.

par Gbless I

3 mars 2021

I got what I needed for my project although I would like more lessons on the topic I have improved a little thanks

par Lester A V M

15 oct. 2020

Exelent

par PASUMARTHI S

21 juin 2020

Good

par Dominik S

22 oct. 2021

Not much explanation, quick run through the code.

par Patrick H

23 mars 2021

some parts of the code are not fullly explained