The course didn't seem challenging to me.

More examples and detailed explanation

More examples and code examples needed

The course needs a final assignment!

el contenido no se traduce muy bien

Not enough depth and using only csv

The final exam has broken questions

exercises could have been better.

I felt it was too fast to grasp.

Final assignment is quite messy

could not access the labs.

Not clear on the last part

This course is very tough

Lots of technical issues

Exams should be harder

la lala la la laa aaa

Not easy to follow.

Videos en Español

Muy poco practico

très bon cours

Very Math!

GOOD

good

k

The whole training is a bit messy. For example, it offers two different versions for the jupyter-notebook in the final lesson. And the code in this notebook is even buggy (Invalid datatype). The most terrible thing about it is that the Peer Review Process for the final lesson is broken! It asked me to review my own solutions. They were presented to me as if somebody else had submitted it. Furthermore, I was asked to review the solution of a totally different course! Also, in the final exam, some of the questions have ambiguous answer options. (Polynomial Regression is a form of Multilinear Regression, numpy definitely contains algorithms as well, square-root error is in fact a suitable measure for comparing the performance of two models with different order, ...) What also bugged me was the fact that the voice of the training videos was not spoken by a human. It really makes you feel worthless, when you are teached by a computer voice. I still give 2 stars, as I really did learn something on this course.