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.
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.
von VARUN S•
Would like to say that it would be of great help if we had some more practice on coding. But overall a wonderful course and helped me learn a lot. Thanks!
von Hamsavardhini A•
It was an excellent course. They covered all topics of ML. Practical session was good but need more explanation. That would be very helpful to students.
von Nermin K U•
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•
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 Sherbulandkhan B•
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 Serhan Ç•
somewhat superficial. I think the course name should be only machine learning, not machine learning with python. There is no tutorial with python.
von Luis D C•
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 Selmir K•
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•
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•
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•
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•
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•
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•
Well Explained. Video lecs are very easy to understand and upto the mark...Assignments little bit need more clarification and explanation.
von Gaurav S•
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 Shivam S•
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•
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•
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•
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•
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•
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•
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•
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•
Although not extremely detailed in the model optimisation part of the work, it is a very useful way to get started on applied ML.
von Sadanand U•
Gives a good overview of regression and classification algorithms . It could have been expanded to other ML algorithms as well.