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.
MN
Jul 29, 2023
Another fantastic course by Andrew Ng! He covers neural networks, decision trees, random forest, and XGBoost models really well. I like that he shares his intuition behind every concept he explains.
By Abdul-wahab M
•Aug 12, 2024
Explains the working behind algorithms well . But you need to spend time actually building some projects with this knowledge on your own
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 Prasanjeet K
•May 17, 2024
If the lab materials and implementations were described It would have been the best course on Machine Learning Basics
By Goziem M
•Dec 6, 2024
Great material. I felt there was a lot of talking, but it might just be me. I do better in a hands-on environment
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 Marc A
•Jun 5, 2024
The labs are not very challenging, maybe some more coding would help to understand more material.
By Gracie M
•Sep 5, 2024
i needed more practical projects and code explanation but theoretically the course is very good!
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 Anmol R
•Jan 7, 2025
course is good, content of the course is easy to understand but their is a lack of practice set
By Bisa V
•Oct 17, 2022
This course is really interesting and the lecturer explain each topic very neatly and slowly.
By H L
•May 28, 2024
The only thing this course lacked was a capstone project/ direction on how to practice
By GERARDO G M
•Aug 23, 2022
It should have more practices. There's a lot of theory, but just a little practice.
By Hicham E
•Aug 1, 2024
More labs would have been nice especially for non initiated student in Python
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 Sai K
•Aug 26, 2024
really fun and interesting. Loved the course and i learnt a lot from it.
By Souvik M
•Jan 6, 2024
Course could have been more technical. Certificate sharing doesn't work
By Hrishikesh K
•Nov 9, 2024
It would have been better if the assignment were a bit more tough.