6. Feb. 2019
The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.
8. Okt. 2020
I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.
von Anas Z O•
2. Nov. 2022
overall the course is very good and covered the topics in ML, but the coding examples should be explained in a videos to clarify all points in details.
von Nermin K U•
28. Nov. 2019
The final project is ill-structured. It is hard to grade because you need to go back and forth in the codes. It makes both doing and grading harder.
von Aftab R•
28. Jan. 2020
The course appears to assume good competency in Python and does not provide much training on Python. This should be highlighted to students upfront.
von Richa S•
12. Jan. 2023
I am new to Machine Learning , as anew student I find the course simple to understand. I need to work on my lab skills which I will finish slowly.
von Sherbulandkhan B•
26. Apr. 2020
Course is very well structured. Some extra guidance and assistance would be nice with the Peer-graded assignment as it gets bit tricky and complex.
von Luis D C•
23. Jan. 2020
Learned a lot in this course, I would've liked there were more exercises throught the videos rather than some questions at the end of the section.
von Hakan D•
6. Juli 2020
There were a couple of videos where the notes weren't separated with punctuations. But other than that, it was a really good course. Thank you.
von João P d J S d R•
29. Okt. 2020
This course is very well, but it doen't have model selection and stratified features selection with sklearn.model_selection.train_test_split.
von Tarit G•
29. Nov. 2019
It was an awesome experience to learn machine learning. The instructor has explained every algorithm in a detailed way. It was very helpful.
von Luke P•
25. Jan. 2021
Good course if you have some basic knowledge of Python and data analysis. However, much of the course material had typos and small errors.
von Laura S M D•
14. Dez. 2019
Un curso muy completo, aunque mejoraría un poco los ejercicios, que al estudiante se le diera más importancia en la resolución del programa
von Jacqueline ( G•
4. Aug. 2019
It's so bad when someone reviews your assignment and gives you an unfair score. But this happened a lot because of this peer review system.
von M R F D•
4. März 2020
Well Explained. Video lecs are very easy to understand and upto the mark...Assignments little bit need more clarification and explanation.
von Luis R•
19. Dez. 2021
Great course ! I really liked the fact that you don't need to install anything to try out the code and the system works without problems.
von Gaurav S•
19. Juli 2019
The Course Could have been a little better if there were more theory and more illustrations at time a disconnect was felt in the Course
von Alonso h g•
25. Okt. 2021
I think the methodology is outdated. But the bases are the same. It is remarkable that they teach how the algorithm and formulas work.
von Shivam S•
7. Nov. 2020
Very fascinating course but exercises like final project will be more for exposure to real coding than it will be really more helpful.
von Roman S•
9. Juni 2020
Course content and presentation is really good! The only thing i would add is the tuning of hyperparamaters which makes ML what it is.
von SUSHANT B P•
3. Mai 2020
Great course but there should be videos where there is need of explanation on code as well, codes given are very good and covers basic
von Mallangi P R•
27. Jan. 2020
I really liked the course content, way of teaching and assignments.
This will definitely help a beginner in data analysis to start with
von Beatriz E P•
28. Jan. 2021
Very nice course!! You learn a lot more of the theory than the practice part, but the concepts are well explained and I learned a lot
von manasa k•
22. Feb. 2021
A good course to quickly learn important aspects of ML with Python. The assignments and final exam is also very useful for learning.
von fang f•
11. Juli 2020
quite good at the explanation and un-graded exercises.
But the knowledge could be deeper and more about parameters in Sklearn APIs.
von Ankit M•
25. Juli 2019
Goodone for anyone who's a beginner in this field. But I personally suggest you to take the Data Analysis with Python course first.
von Raffaele N•
13. Sep. 2019
Although not extremely detailed in the model optimisation part of the work, it is a very useful way to get started on applied ML.