This course is a good chance to start python programming and reviewing ML concepts with deeper insights. I would suggest it for those who are familiar with ML and its algorithms. For those ones who want to start learning ML, it is better to take ML courses with Basic level.

Great course, cover many important aspects of classical machine learning algorithms. The lectures are very focused and not tedious. Labs are excellent, and can serve as a starting point for every data science project in the future. I definitely recommend taking the course.

This is one of the finest courses for anyone who wishes to transform his/her career into Machine Learning. It has optional external tool assignments after each chapter to help you understand and try out code and the concept. I would highly recommend this course to anyone.

If you put your heart to it, there is really a lot to learn in the course. The course touches quite some ML topics and gives a good introduction to it. I feel I got a whole new set of tools to use, and i am hungry to learn and experiment more.

Really enjoyed the course!

The videos and labs were remarkable in that it was able to concisely communicated vast and complex information.

I did have to do additional research to fully understand and appreciate the material because I am not coming from a programming or statistical background.

Great course.

Knowledge wise, just like Prof. Ng's, minus the mathematics foundation.

Practical wise, carefully designed labs really help learners understand the data cleaning processes, understanding data through visualization, ML algorithms and evaluation metrics.

The course was really great. You have the luxury to explore in-demand practical skills and apply them in fun ways. ML is applicable to the industries, and our lives. I've been blessed greatly by the expertise of the instructors to design a well-structured content.

It's a very precise and practical course. It focuses on the main ideas and application aspects of M.L., without drilling too deep into the math rationale behind.

To get the most from this course, it's good to equip yourself with basic knowledge in numpy and pandas.

Can include more details. Every time I was more interested in a certain topic it mentioned it was out of the scope of this which was disappointing. I absolutely loved the teaching and would like to hear more to his lectures and sessions!

Amazing course. Thank you!

The lessons are very simple to understand with both logic intuition and mathematical explanations.

It is really the best course and beginner friendly.

I strongly recommend this course for anyone willing to start a career in Artificial Intelligence technologies.

Muy buen curso, se da información bastante relevante acerca de los algoritmos de Maching Learning. Debe tenerse en cuenta que después de este curso será necesario profundizar más en los diferentes algoritmos, pero en mi opinión esto se dará con mayor facilidad.

Excellent Course.Really enjoyed it.Covers details of lots of machine learning techniques and their implementation also.A nice way to start Machine learning.Instructors are fantastic.Even those who already know machine learning can learn a lot from this course.

The course is not easy, but it is a lot of work with dedication and commitment to the management of platforms, if the concepts are very understandable and the laboratories are very didactic, thank you very much for sharing the information and thanks again ...

Excellent course on machine learning principles and various algorithms. It's a great start if you want to jump into the practical side of implementing ML using Python libraries, without getting too deep into the theory behind the most popular algorithms.

Good learning opportunity on ML using various data science modules in Python. The Labs are well defined using the Jupyter notebook platform. All in all great learning experience and would recommend the course to anyone aspiring towards ML data sciences.

Only concern is notebook should be user friendly and setting up the notebook and sharing should be straight forward. I did spend quite few hours how to set up those things . Over hall Course is good and loved it but need more exercises to practice

It was a very good course having atmost knowledge about the machine learning with the help of python libraries. I recommend this course to the freshers in machine learning field having good knowledge of python libraries like numpy, pandas and matplot.

Loved the course, got familiar with some the basic Machine Learning Algorithms. This course helped me in understanding how the problems are solved using Machine Learning. This course also helped me in understanding that how much the data is valuable.

Very cool machine learning with Python. Really enjoy and like the machine learning techniques using python, program and plotting. Appreciated in IBM's instructor's kind instruction and guide. Have learned a lot from it and discussion with classmates.

O curso é muito bom, os vídeos são conceituais então não espere ver nenhuma linha de código Python nas aulas, para isso você terá que fazer os laboratórios, e esses sim são bem detalhadas e mostram toda a construção do algorítimo. Curso recomendado!

It gives a right sense of direction and orientation for any beginner aspiring to understand Machine learning. The final project, though simple, yet makes one understand the basic tenets of several ML algorithms. I really enjoyed doing this course !!

I was always thinking ML is a very difficult course to pick up on the random, and would require so much than I just discovered. This course opened my eyes to the ML world, and now, I can make better decisions using the skills I have just acquired.

Course is good & beautiful as it was created using all the materials and important points are mentioned with examples for each algorithms + the best part is fully understandable lab assignment and videos and guidelines regarding each assignment .

Machine learning is not easy subject, but this intermediate level course covers enough for the its target.

The strong part is belong to lab work and final assignment. They are real work with repetition helps to remember the theory and get skills.

Great Course! Before taking this course, the idea of Machine Learning was very unclear. After successfully completing this course, I know it all. I highly recommend this course for anyone looking to understand Machine Learning along with Python.