TH
14 mai 2022
This is an excellent course which goes into some depth on the different ML models and underlying complexity but it avoids getting bogged down into the details too much.
DS
6 mai 2020
Excellent course for an overview of different ML algorithms. The course is made from a perspective of giving insights in process and not too many mathematical details.
par Morgan S
•23 mai 2021
This course is a great overview of ML concepts. The professor is superb! I did not give 5 stars because the labs need to be improved. The labs are too simple. This course should provide more opportunities for applying the ML concepts.
par Andrey Z
•29 déc. 2021
G​ood overview course. I hope authors will add more practice task in the futrure
par Kham H Y
•28 oct. 2020
Learn some valuable insights on scikit-learn capabitlity through the labs
par nouran a
•7 mai 2020
Many useful information but need some more explanation, overall awesome
par Saksham G
•4 avr. 2020
More maths to explain the underlying concepts will be good!!
par Daniel W
•28 nov. 2020
Machine learning concepts are introduced well.
par Grecia P
•3 mars 2020
week two was heavy
par MARRU R
•18 déc. 2020
nice
par sandeep d
•27 août 2020
nice
par Nicolas G
•17 avr. 2021
High level overview of Machine Learning, poor examples and incomplete labs.
par PIYUSH G
•8 avr. 2020
good
par Raghuram T
•10 oct. 2020
It could have been better if the trainer had included more hands-on examples rather than just tuning the slides and most important algorithms and its usage was there in the attached links for reading and I felt if this could have been taught in the training rather than just a document to read and self learn the quality of the course would have been fantastic.
par Sara K
•30 sept. 2021
The instructor is wonderful. She does not sound like a robot/reading off of cards like so many other instructors do. However, the practice assignments are still in draft form and missing files you need in order to complete them. That is why I gave this a one star.
par Carlos E
•12 oct. 2021
D​oesn't explain in a good way the models used. Only explain how to use them. I really need the math and a deep explanation to understand how to use the function. This is like they just give you the documentation and do examples.