Well designed course. The last assignment really makes you review every lesson learned in previous modules. I recommend this course for intermediate python developers

It's very hard to teach ML in such short course. But this course did very well, focus on how to use sci-kit classifier from clean data to select model. Very practice.

Increíble curso. Ejercicios muy aplicados, a la larga ya el señor da un poco de flojera y los artículos para leer como opcionales son muy buenos, recomiendo leerlos.

This course has been really helpful to me! All the contents we need to grasp each week were well-designed and the assignments are easy, interesting and enlightening.

The course is overwhelmingly interesting and provides readily available tools. The teaching assistants and professor are all extremely helpful. Absolutely suggested!

I COMPLETELY ENJOYED LEARNING THIS COURSE. I LOVED THE MANNER IN WHICH OUR TEACHER JUST MADE ALL THE TOPIC EASY TO UNDERSTAND. LOOKING FORWARD TO LEARN MORE SKILLS

Very excellent course. Well done explanations even if there is some language confusion. Taking the time to really understand the concepts makes all the difference.

Inspirational course, learning you in a comprehensive manner, a thorough approach to machine learning with the target specific peculiarities and possible pitfalls.

A course that gives not only solid understanding of Machine Learning, but provides with skills to actually practice it on real world datasets. Highly recommended.

I like how the many different ML algorithms are explained in such a high-level. This is a good anti-dote to more theoretical courses. Best MOOC I have done so far.

Fantastic, and challenging course, a must and recommended. For those who are interested in Machine Learning and have experience with Pandas and Python programming.

Great course, with clear explanations. It is a great introductory course. As the name implied, this is for applying the tools needed for Machine Learning practice

It was really great and improved my knowledge of machine learning algorithms. However the assignment were so diffrent from what have been teached in the courses.

Very good introduction to machine learning with scikit-learn. The main important algorithms are discussed, and you learn how to apply them to real world data.

A very good course that I would recommend for others to take. It covers quite a bit of material but it is still worth it. Very satisfied with what I learned.

The evaluation is sometimes problematic, otherwise is very good. I had a problem with matplotlib which was just imported and nowhere was written to remove it.

really great course, using online jupyter notebook is a great way to increase hands on experience. auto-grader needs some improvements but not a huge problem

I learn many new things which I have not learn in my university.The best quality courses encourage me to learn and explore more in deep Machine learning.

excellent course. Lectures were good, not too heavy on theory, and assignments were challenging but doable. I liked assignments much better than the quizzes

Great course. The material is well thought, the assignments are excellent. I learned a lot and I am already leveraging what I learned in the course at work.

I​ loved doing the assignments. They are challenging and you have to keep an eye over the Discussion Forums to successfully complete them. Good instructor.

Perfect course! No math, only applications, definitely I will use it later in my studies since course provides many useful examples / explanations / codes.

Excellent Course. Well presented and good organized python notebooks, quiz and assignments.

Enjoyed the project very much.

Looking forward for future classes

An ideal platform to start your discovery and exploration of the world of Machine Learning. A programming knowledge, however, is a necessary prerequisite.

Great course, very useful, with a very practical approach.

I suggest to everyone, working on datascience and that needs to familiarize with Python language