Really really good training and notes and the speaker are very good at explaining these topics. Recommended that others try to seek this course.

Probably the best course in the specialization. I really enjoyed the labs. A lot of useful information. Many thanks to the authors of the course

Great introduction to Machine Learning algorithms. Hands-on labs are perfect to see them in action and the whole content is very well explained.

I would recommend data science enthusiasts to take this course. I got a deep understanding of machine learning by working on real-life datasets.

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.

ML Algorithms are explained clearly and nicely; the examples and metaphors make the education valuable. I will rewatch the videos later. Thanks

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

wonderful course , there was lot of labs , which not only helped me build my project building knowledge but also made me get real world feel.

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

It is a good course. I work with data and this course improved my knowledge and I learnt new methods such as pipeline which are very useful.

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.