FA
May 24, 2023
The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.
JM
Sep 21, 2022
Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses
By Prabhanjan
•Nov 18, 2022
Very nice course, more detailed explanation on every process of supervised learning. Thanks to Anderw NG and his team and Deeplearning.ai
By SIDDHARTH M 1
•Dec 20, 2023
Very Beginner Friendly, Love the Approach of making the ML Models easy to understand without having hard emphasis on Mathematical skills
By Simone B
•Apr 6, 2023
I really like the pace and the math considerations. I think they can be deeper also. I would have like more scikitlearn implementation.
By Ahmed A
•Aug 4, 2022
course is very good, but doesnt make me very envolved in practical work, may be some search and assignments or problems will be better
By Nouran K A A A
•Oct 26, 2022
It's prefect but although the programming assignments are optional, they are a bit not easy and the final assignemts is not easy also.
By Kimia E
•Sep 6, 2022
If the course was more programming-oriented it would be better. All in all the course was really helpful and very easy to understand.
By Thi M T D
•Aug 18, 2023
I highly recommended this course. The only downside aspect here was some unclear suggestions in the code of the last lab assignment.
By Ravesh B
•Apr 21, 2023
A decent intro into some of the core ML techniques that are out there and how to use them. Really enjoyed the pace of the lecturer.
By William M
•Oct 3, 2023
There should be some way to download formatted notes of key points from the lectures, and to download the submitted quiz content.
By jieyou w
•Jun 18, 2023
Very Clear and concise teaching of concepts. Good Effort! Thanks to Andrew and the team behind this course. will sign up for more
By Abhi s
•Dec 24, 2022
It's a great course I loved the videos
maths behind the algorithms are explend flowlessly
I wish it focused on practice bit more
By Ariel G
•Nov 5, 2022
DeberÃan agregar subtÃtulos en español para abarcar más personas.
They should add subtitles in Spanish to cover more people.
By Koushik V M
•Aug 23, 2022
The lab classes could also be thought as a compulsory part of the course ,otherwise a really good and a recommendable course.
By Sai G M
•Jul 21, 2022
It was fantastic! Andrew is a very good instructor. He made most of the concepts crystal clear while explaining the ideas.
By Sree C
•May 18, 2024
make every lab graded instead of optional. so that we can practice every lab seriously and helps for better understanding
By Hasnat A A
•Feb 8, 2023
it would be much better if the labs were also explained a bit because there were a lot of things that were quite unseen.
By Elead B
•Oct 28, 2024
Great course. I would recommend for someone that has a fair mathematical knowledge. I struggled a bit with the formula
By KESHAV
•Jun 12, 2023
I would like it more if problems like K-means clustering and SVMs were also discussed in the lectures and/or labs.
By Mairi M
•May 3, 2024
Excellent teaching and high quality learning materials. The jump between theory and practical was a little steep
By Yousef R
•Jul 30, 2022
ts a very helpful course to get into AI, i would sa it could use a bit more coding in the videos to demonistrate
By Moutassi B G
•Sep 1, 2024
The basics are perfectly and so simply explained and all is done such you must understand what you are studying
By Shiva T
•Feb 20, 2023
Some more practical examples can be included but the course material and topics and ecplaination were great.
By Amit S
•Dec 18, 2022
Every concept was explained in a very easy and interesting way. Really liked the course and way of teaching.
By Anukul D
•Nov 10, 2022
I actually got the right course at right time and thank you to coursera for providing the course. Hats Off!!
By Raman K P
•Dec 18, 2022
Real life dataset use would have been more helpful.
Also, use of scikit-learn could have been explored more.