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 Abderrahim B
•Mar 5, 2023
Some of the topics were not explained clearly and found them quite complicated. Topics:
1. XGBoost
2. Bias and Variance
Also, I did not understand why most of assignments were about writing codes for functions that are already implemented in open source libraries and packages!
By Hoormazd Z
•Mar 22, 2023
Great course. Really easy to follow and it's a good starting point for learning about ML, assuming you already know linear and logic regression. I wish there were more programming assignments and more lectures on TensorFlow though.
By Arshdeep K
•Mar 19, 2024
I wish there was more on the practical use and coding part. And the labs could be a bit more explained. Apart from all that, its an amazing course and it has helped me understand many concepts clearly from the ground up.
By zia u r
•Dec 17, 2022
Truly peaking, I used hints very often because I was not familiar with the Phyton. A optional week as a zero week should be introduce to teach basic python for the students that have no previous interaction with python.
By Giovanni
•Dec 29, 2023
I liked but maybe the level is too basic. Anyway for those who have never seen machine learning, it is a beautiful gentle introduction to all the main concepts explained in a super clear and simple manner.
By Brian R
•Aug 14, 2022
Course material is good and flows well, but are ANNs and decision trees the only advanced algos? Loved the parts on model bias/variance determination and how to fix the model based on the determination.
By Akanksha G
•Jul 2, 2024
Every concept was explained brilliantly by Andrew Sir. Though the lab sessions code is much simpler so I feel the code level should be increased. Overall the best course to start your ML journey with :)
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 Rohan K
•May 13, 2024
It's a great course, really phenomenal but it lacks a little on the implementation side. It would be better if it had 1 or 2 medium-level hands-on projects included in its structure.
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 Farouk B
•Sep 28, 2024
very good course but it needs lab practice , it looks like we just run the code , aand if we want to write by our self it is hard . but thank you so much
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