DG
Apr 14, 2023
Extremely educational with great examples. Helpful to know Python beforehand or the syntax will become a time sync, and understanding the mathematics as going through the class makes it a decent pace.
SL
Aug 27, 2022
After copleting the course I found all conceptual knowlegde for visualising and implementing the algorithm in my work. Before this course I was not using the full potential of the advanced algorithm
By Anirban H
•Jul 20, 2022
Beginner level course, explained simple concepts on neural network specifically Multi-Layer Perceptron & Decision Tree, nothing advanced topics covered. But the explanation is very very good.
By Prejith S
•Jan 27, 2023
I felt the lab assignment in the Decision trees section was a little too fast to comprehend. Otherwise, it was an excellent course with just the necessary theory and intuition.
By Ruedi G
•Aug 28, 2022
Very good didactical approach. The labs are straight-forward but test programming skills more than AI expertise. Editing and error checking in the notebooks is poor.
By Avdhoot J
•Apr 9, 2024
It would be much better if you link a relevant applied AI course with this package. The course is more of theory, than practical application.
By Zach S
•Feb 15, 2023
Pretty great. I kind of wish the assignments were a little more challenging but I realize that it's a beginner level course too.
By Gaurav G
•Nov 23, 2023
The last week is less boring, it was hard for me to grab to concepts of the last week, it seems everything magically works!
By Céléstin N
•Sep 8, 2022
The course is very informative but assignments solutions are provided. There is a lack of challenging learners to do more.
By Younas K
•Feb 4, 2024
This one is a little pacy compared to the first one. Maybe the explanation for the math is not as clear as the first one.
By Alessandro G
•Apr 14, 2024
Really good course, maybe some more project-like assignments would be beneficial to assimilate the concepts more deeply
By Durlov
•May 20, 2023
Concepts are well explained, but the last Practice Lab had confusing problems that were not well-explained.
By Syed N
•Dec 25, 2023
Amazing Course!! I feel that the Random Forest and XGBoost section could be a little more elaborated.
By CM-A-Jivhesh C
•Aug 20, 2023
I wished they added neural networks after all the ML algorithms but agains the teaching was amazing
By Ofer S
•Aug 16, 2022
I found the lab practice a bit simple and technical on one side but not intresting on the other.
By Bisa V
•Oct 17, 2022
This course is really interesting and the lecturer explain each topic very neatly and slowly.
By GERARDO G M
•Aug 23, 2022
It should have more practices. There's a lot of theory, but just a little practice.
By Vusumuzi D
•Feb 21, 2023
Excellent presentation that provides insights into practical problem-solving
By Andreas P
•Dec 7, 2023
Very competent and detailed explanations. Intuitive way to teach the topic.
By Kuldeep J
•Aug 25, 2023
Great course to learn about most used useful algos in ML and DL by Mr. Ng
By Souvik M
•Jan 6, 2024
Course could have been more technical. Certificate sharing doesn't work
By Ryan B B
•Sep 13, 2023
Great, but could have more challenging assignments and projects.
By Naga V T S M
•Aug 31, 2023
Good to learn from this course. It is giving valuable insights.
By Nishant M
•Dec 18, 2023
Please add some content to get started with kaggle assignments
By Muhammad A
•Sep 3, 2023
You should focus more on practical implementation than theory.
By FRANCISCO J R D L M
•Jul 30, 2022
Good intro to some machine learning algorithms and techniques
By Kunal S
•Jan 5, 2024
Andrew sir is phenomenal only concern is lagging of labs