Learner Reviews & Feedback for Applied Machine Learning in Python by University of Michigan

Awesome course!

Stick till the end of it, and you'll never regret it.

You're gonna have a lot of fun especially in the last week, don't skip the optional readings of this week ;)

The course is awesome. Professor Kevyn Collins Thompson, explains the topics with examples in python which makes content easy to understand. It is the best course for beginners.

It is very good blend of study and practical assignment. Assignments were very well designed to greatly enhance the understanding about the things learned in the video lectures.

Really good course, although it is more focused on the practical aspect I really learn much more about different machine learning techniques for improving and applying a model.

It is a great course. The lectures is interesting and full of knowledge. Though the assignments are challenging, especially the last one, I really learn a lot from this course.

multi selection questions in quizzes are a bit hard to handle, i think there should be more hands-on experience included. Loved notebooks when one answer lead to the next one.

The content is so crisp and articulated well. The assignments and quiz need fair amount of work to complete. My fav part of this course is week 4 and tutor nailed it so well.

This course was challenging and extremely interesting. The long and detailed lectures and excellent lecture notes covered the material very thoroughly for an online course.

Excellent introduction to Machine Learning! The course focus is on supervised ML. Well taught ! Course is well structured with lots of tips & tricks for model evaluation.

Great course! I have learnt a lot of machine learning skills from this course. Regression, classifier, metrics, clustering. This course cover both theory and practicing. The

A dedicated course with focus on application of supervised machine learning algorithms which can help the student to apply these algorithms in many real-world applications.

Feel strongly, that this is the best of the 3 core courses in the specialization. The lectures were excellent and the notebook modules supplemented the lectures very well.

This is a very first course of Machine Learning that I have ever completed. I believe, this is a very good course to understand some basic applications of ML in real life.

One of the best machine learning course! The professor is very talented! Even with a good ML background it is still a very valuable course. The final project is perfect.

Really good course. The instructor taught in a very precise way. The teachings were spot on and comprehensive. After this, now I can start to work on real-life projects.

I enjoyed this course it was fun and very informative. This course also gave me a bunch of resources such as The Elements of Statistical Learning which is a great book!

ML is a wonderful course.I learn new concepts with hands on experience.Each and every algorithm concept is clearly explained .I learn how to handle real time data set.

It's a best course for the one who wants to learn machine learning with python. All you need to do hard work for the certification. Give your best and crack the codes.

Liked the course! At times a bit challenging but the discussion forums are helpful. Gave me a good overview of the topic, but I feel I have just scratched the surface!

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.

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!

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.