This is the best course in the IBM Data Science series, the course teacher is very good in communicating principles and explaining what matters.

This course is great, helping me master the knowledge regarding algorithms in machine learning.

Thank you very much Professor SAEED AGHABOZORGI.

This Is One of the best Course In Machine learning so far. Tutorial Very Brief and practical. Very interactive lab. Thanks to Coursera and IBM.

Really its fully rich course, explains every aspect of machine learning algorithms and their implementation in Python Language.

Thank You at all

The first time I tried to learn machine learning, it scared me. This course made is the best introduction to the subject that I have ever got.

this was one of the most difficult courses I took and it was very worth all the content and very good and the exercises are very well prepared

An excellent course, covering multiple machine learning algorithms which allow you to compare and contrast their strengths and methodologies.

The final assignment is a bit unclear with grading but overall great course. Learned a lot with the applications of python in data analysis.

The course is an excellent introduction to Machine Learning. It is balanced in terms of theory and practice, and the workload is manageable.

Very informative course. The lectures were very professional and the structure of the course and the notebooks were all very well presented.

A good course designed nicely and recommended for beginners as it is very easy to understand and practical assignments are really effective.

This course changed my life and view about Python and Data Analytics. I wish everyone could take this course. Grateful to IBM and Coursera.

From basic to implement, with knowledge and real dataset and algorithms. not only tell us the ideas, but also help us coding and training.

ML concepts and Algorithms are explained nicely and was easy to understand. Very helpful course to understand ML and statistics behind it.

This course provides everything I expected. Python notebooks are full of quality examples with interesting plotting techniques to learn.

This is a well designed course covers almost all basic concepts of machine learning (supervise and unsupervised) using python programming.

T0-the-point course with sufficient practical examples and explanations to enable easy learning and implementation in real life scenarios.

One of the best course for learning Machine Learning basics.

Amazing instructor, good syllabus and labs. With interesting final assignment.

Very well for beginners. This course gives a great insight to the new learners on how to implement machine learning algorithms in Python.

Excellent class for machine learning beginner. Lots of insight on the ML algorithms and what problem does the algorithms used to solve.

un curso introductorio, un poco superficial pero considero que es muy bueno si estas dando tus primeros pasos en el mundo de los datos.

this course is good for intermediate student which have basic knowledge about python libraries and to aware with c++ and java languages

I really loved this course as it felt challenging and informative. The course was packed with so much knowledge. Loved every bit of it.

It is really a good course, simple and easy to understand, the projects and quizes are good as well, for better knowledge and learning.

El contenido del curso es muy didáctico, no es el primer curso que hago sobre machine learning y hasta ahora me pareció de los mejores.