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.

Very nice course. The course material was very comprehensive.

However, I still feel there should be a more standard grading process other than simply peer review.

Fantastic course! Only thing given the level of detail contained herein, is to consider splitting this into part 1 and 2 so can more fully capture the essentials.

This is the best experience learning machine learning with Python. There are many good examples to practice and it gives the clear idea on what we are learning.

very good examples and practical exercises. perhaps more of a global overview of ML techniques/uses would have been better but still a good introductory course.

Excellent notes, labs and quizzes. The best, simplest and most direct way to learn Python and machine learning. Wish all courses were taught this way world-wide.

Very nice course, that covers a lot of concepts from Machine learning, and includes very useful practical modules to get more familiar with the python routines

The course content is exemplary. Examples given reflects real life issues to understand better. Its is very useful to develop good understanding of the concept.

Absolutely recommended if you want to taste what is machine learning... I love the structure of the course. Must take course if you are a newbie in data science

A very good introduction to machine learning using Python, covers the basic concepts well and provides good introduction for various widely used ML algorithms.

curso increíble sencillo, la tarea con honores fue al punto, y aunque temas un poco pesados, para alguien con experiencia en ingeniería o matemáticas no tanto,

Very good introduction course.

I think it can be much better if there is any alternative on displaying decision trees since the anaconda libraries always crash.

Data Analysis with Python and ML are the best courses in the IBM certificate, the course is well laid out, the labs are excellent and the capstone is hands-on.

Great Course! The instructors are simply awesome and the text, slides, graphics and exercises were manifestly meticulously prepaired. I can just recommend it!

Very interesting subjects like intro with ML, regression model principles , classifications, KNN, Decision tree, clustering , recommender systems with ML.

Wonderful Course for beginner and intermediate level student. It gives a complete overview of Machine learning and in-depth knowledge required for the domain.

This course is very well defined, with lots of information and samples for each topic, one after the other. The video are interesting, the instructor is good.

I really like the machine learning algorithms practice and teaching materials. Better to include some new packages (e.g. Tensorflow) to give us a taste of it.

Great course! Taught a lot about various ML models. Has a lot of labs as well which gives you coding experience with sk learn and numpy to build said models.

I liked the course.

The setup of the environment for the final assignment was not the smoothest one, but nevertheless I enjoined the study and the challenge.

Its nice to learn Machine Learning with python. Its very informative and useful course. I would highly recommend to everyone todo this course.

Regards,

Arpana

This is one of the most detailed course I've ever seen please get this course and support the coursera community for bringing such great courses together.