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Вернуться к Predict Diabetes with a Random Forest using R

Отзывы учащихся о курсе Predict Diabetes with a Random Forest using R от партнера Coursera Project Network

4.5
звезд
Оценки: 108
Рецензии: 17

О курсе

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....

Лучшие рецензии

GB
10 июля 2020 г.

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

DD
29 апр. 2020 г.

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

Фильтр по:

1–17 из 17 отзывов о курсе Predict Diabetes with a Random Forest using R

автор: Dr. J D

30 апр. 2020 г.

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

автор: Warunee S

3 июня 2020 г.

This course is suitable for immediate program R

автор: Zan F B

8 июня 2020 г.

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

автор: G.Indumathy

8 июня 2020 г.

very useful to examine self and for our wishes

автор: APURVA H

22 мая 2020 г.

Need a bit more explanation on the mathematics part

автор: Grace G N B

11 июля 2020 г.

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

автор: VARUN A

11 июня 2020 г.

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

автор: Gregory G J

5 янв. 2021 г.

Thumbs Up!

автор: Priya U

2 сент. 2021 г.

Awesome

автор: p s

22 июня 2020 г.

Good

автор: tale p

13 июня 2020 г.

good

автор: RASHIKA D

8 нояб. 2020 г.

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.

автор: Gbless I

3 мар. 2021 г.

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

автор: Lester A V M

15 окт. 2020 г.

Exelent

автор: PASUMARTHI S

21 июня 2020 г.

Good

автор: Dominik S

22 окт. 2021 г.

Not much explanation, quick run through the code.

автор: Patrick H

23 мар. 2021 г.

some parts of the code are not fullly explained