Comentários e feedback de alunos de Modelos Regressivos da instituição Universidade Johns Hopkins
Sobre o curso
Melhores avaliações
KA
Dec 17, 2017
Excellent course that is jam-packed with useful material! It is quite challenging and gives a thorough grounding in how to approach the process of selecting a linear regression model for a data set.
BA
Feb 01, 2017
It really helped me to have a better understanding of these Regression Models. However, I've noticed that there is a video recording repeated: Week 3, Model Selection. Part 3 is included in Part 2.
251 — 275 de {totalReviews} Avaliações para o Modelos Regressivos
por Kai W P
•Nov 05, 2016
Very good.
por Ilan L
•Jul 10, 2016
very usful
por PRABHAT K
•Jul 21, 2017
Excellent
por Xiaole Z
•Jul 26, 2019
helpful!
por William A
•May 17, 2018
Loved it
por Maggie L
•Aug 28, 2017
Love it!
por Charles-Antoine d T
•Oct 29, 2017
amazing
por Fernando M
•Sep 04, 2017
Love it
por UDBODH
•May 14, 2016
Had fun
por Adán H
•Sep 13, 2017
thanks
por Fredy A
•Jun 05, 2016
Great!
por Rodrigo O
•Apr 16, 2019
great
por Rafael L G
•Jun 01, 2017
Great
por Pratikchha N
•May 31, 2016
great
por Dror D
•Oct 05, 2018
Good
por Ganapathi N K
•May 06, 2018
Good
por Yi-Yang L
•May 10, 2017
Good
por Larry G
•Feb 07, 2017
Nice
por Amit K R
•Nov 21, 2017
ok
por Ganesh P
•Mar 12, 2018
V
por Priyanka V I
•Aug 26, 2017
.
por Andrea F
•Apr 19, 2017
B
por Benjamin G J
•Jan 05, 2016
This is the best course of the bunch so far. These courses are really promising -- I've learned a lot from them and they probably have everything they could have at the price - but I'm leaving just one star off because I feel very strongly that some effort could really go a long way to making a better language map of these courses. A person leaves this course, and even more so the inference course, not being very clear one where their new capabilities lie in the spectrum, and without the strongest sense of how to experiment with linear models.
One case in point of the the huge strengths and a slight weakness of this course -- Professor Caffo mentions the wonderfully tantalizing fact that the application of linear models can get you most of the way to the top of a Kaggle competition. That feels true, I trust him, and it's really cool. But it would be SO. MUCH. COOLER. with an article showing a linear model attacking that kind of problem.
por John D M
•Apr 10, 2019
Overall an excellent course, but there were some issues with the wrong function being specified in one quiz (Q3q6) and the wrong answer in another. Apparently it has been that way for years, according to the forum. The quality of the lectures was very high and the information interesting, so compliments to Dr. Brian Caffo on that. However, the estimated time for completion of each week is ridiculously short compared to reality. Five hours? For me it was more like 20 hours, and more if I did all the Swirl exercises. Such low-balling on the time estimates is typical of the Data Science stream. The final project is given as 2 hours but it was closer to 15 for me. i wish Coursera would go back to the stream model where you could bump yourself to the next intake. That is much less stressful for busy working people like me.
por Siying R
•Aug 10, 2019
The lecture is pretty dry to me who had limited vocabulary in the field. It made me went out to find other easier lectures to help me understand. The lecture focus on explaining the basic concept of Regression Models and spend a big chunk of time to explain how the function works. I would prefer to have more time explaining what the numbers mean for the data. The questions in the quiz require us to understand the meaning of the data, so we know what function and number to apply. Maybe it is just me, finding it very challenging to see the connection between the lecture and the quiz.
