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.

Quite usefull course. Giving nice explanations of the main concepts. Also, I like the amount of practical labs. So, you learn and try.

Excelente curso. Contribuye en gran medida al entendimiento de diferentes algoritmos de ML y por consiguiente algunos de sus alcances.

This course is great for a high level introduction to machine learning and basics of supervised and unsupervised learning algorithms.

The course is very interesting with numerous hands-on project that greatly help to improve machine learning programming using python.

This course is very easy to understand and have a general view of several methods in ML . The notebook is easy to run on the cloud .

Overall great course. Some disconnects between the IBM platform and the example. Otherwise good course with practical application.

The best course with all the basic concepts of machine learning especially the implementations is very helpful. Highly recommended.