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Great course got to learn a lot of under-the-hood working of various machine learning algorithms. I would surely recommend ML enthusiasts to enroll in this course to upskill yourself.
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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 Caio A
•May 3, 2024
Good to review some concepts if you have an Intermediate level of knowledge and excelent if you're new to the area. Still very light on mathematics, but the course is excelent
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 Kushagra L
•Jun 3, 2024
Very good learning experience. Bit difficult than the previous course on supervised learning, but concepts can be understood if we listen and understand carefully.
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 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 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 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