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.

The requested Final Assignment was TOO difficult in regard to what was taught during the course. No objection to provide more material into the course to support the final assignment. It was of course a wonderfull course although a pain in the ... back!

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.

The course is excellent...but I got bored in week 4 a bit. Also have suggestions about the peer review assignments. If someone submitted the wrong or no notebook, after 1st question, it should not go to the next question. , it should direct to submit

Very well-structured explained, and intuitive course with many activities with real applications to practice the teachings. I can say that although I had some knowledge of machine learning, I honed my skills and learned new concepts during the course.

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 !!

TECHNALLY ELEBORATED CONTENT ESPECIALL CURATED TO MEET THE CURRENT DEMAND ALSO VERY LUCIDLY ALINNGED WITH THE USER PRESPECTIVE WHICH MAKE IT EASY TO UNDERSTAND AND SEMMLESS IN IMPLEMENTING THE CODE REALLY GREAT WORK AND EFFORRTS MAKE MY IBM TEAM

This is a very well-structured and competently delivered course. I found the labs to be particularly helpful in reinforcing the theoretical material provided in the weekly videos. Many congratulations to the IBM/Coursera team and to all my peers!

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.

The final project was outstanding I did fell like I have learnt something. The explanations for each topic are amazing. Some of the are just seen in a superficial way but it opens the door for you to search. All in all, this course is awesome.

I really enjoyed the course and was happy to find that the information provided was broken down enough to make it simple to understand the concepts. The labs were helpful and the final project was a nice gauge of what I needed to improve on.