It is a good start for ML with python. Give you a general description of each algorithm and show you the high level implementations using scikit learn in jupyter notebooks.

The final assignment was challenging in a good way. It would have been nice to have more opportunities to practice in the labs to better prepare for the assignment though.

The most challenging and at the same time interesting and satisfying course in the Professional certificate group of courses! I can't wait to use what I learned in action.

The course is didactic, with information necessary without overloading content, have a good practical component, in general, it has a good bases to learn machine learning

Muy bueno, los temas son interesante y muy bien presentados. Igualmente se recomienda tener ciertas bases en estadistica y operaciones con vectores para entenderlo mejor.

I enjoyed learning this course way more than the previous courses. The instructor was very clear on the topics. The lab sessions highly promote different techniques used.

It's a very good course. It's the best course that i've taken about machine learning introdution and i love all the content explained inside and the practices with labs.

More than learning I seriously enjoyed the way our instructor taught .Gotta chance to learn many algorithms in a efficient way . A big thanks to Saeed Sir and Joseph Sir

One of the best courses for Gaining new skill's in Python.Also the Project provided at the end of the course allows us to test the skills we have learned in the course.

This course has taught me valuable skills on Machine Learning algorithms, as well as hands-on experience with the labs provided in the course. I definitely recommend it!

The training on this actually really well explained. I'm coming from Kaggle.com modules and this material is really adding an extra layer. Thank you Coursera and IBM.

Great working environment and proper guidance is provided in this course and definitely made me go into more details for Machine learning Programming and Python coding.

Awesome course. Great introduction. And for the first time, I didn't have to take screenshots individually for every question and upload for the peer assignment. Great!

A very good course for learners who are interested in ML but do not have a good mathematical background. Overall, a complete starter ML course. You should enjoy it. :)

A very difficult and challenging course yet very important for my carreer growth.

I urge everyone who wants to keep on growing on his/hers job to get this course done.

Each and every feature makes this course more robust and riched. Practical quizzes and labs have been very effective to learn the features of this course efficiently.

This is a really good course.

Every lab gives the code implementation with proper explanation. The final project was a good way to put everything we learn to practice.

While the final project is again terrible (like so many other courses), the content of this course is great. I will refer back to my notes from here for a long time.

I have completed the course with financial aid . I am very much satisfied with the content. Thanks Coursera to give the world such chance to enrich their knowledge

One of the best & most interesting courses in this complete data science specialization. As a naive to this domain, I aquired a ton of insights in Machine Learning.

This is good course through intro for machine learning better if you add intro to some advanced topics like tensor flow,artificial neural networks and use of them.

Its a nice course to start with. It explains all commonly used machine learning techniques in detail along with Python code. One should definitely take this course.

This course is awesome. The instructor was very good. His Teaching style and understanding of concepts is very good. This course gonna help me to achieve my goals.

A very nice course. It includes both theoretical and practical tutorials. After completion of this course one will have an in depth knowledge on machine learning.

Very practical course which helps you learn Python and how it's implemented in machine learning algorithms. Having some examples as well, so you can learn easier.