Oct 14, 2017
Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!
Sep 09, 2017
This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses
автор: David A d A S•
Jul 31, 2017
I learned a lot of fundamentals machine learning. The lectures are very clear and the assignaments focus on practical examples.
I recomend this course for everyone who want to have a global view of machine learning.
I enjoyed a lot.
автор: Michael D•
Jul 19, 2017
I thought this was a fascinating course that tried to do the near impossible and succinctly summarise the key techniques of machine learning. And it did that very well. Very challenging tasks, but also overall inspiring for the next step.
автор: Vishesh G•
Sep 08, 2018
This was an amazing course that I absolutely loved working on. It gave a deep insight into machine learning. I gained a lot of knowledge from this course. A must for the students who are just stepping in the field of Machine Learning.
автор: Ganesh K•
Apr 15, 2018
Tough and exhausting, but thoroughly worth it. I learnt a lot - and I already knew machine learning before taking this course. Be prepared to spend a lot of time preparing for the quizzes. The assignments are easier than the quizzes.
Mar 11, 2019
Really well explained theory without too much of a mathematical deep dive that provides a perfect set up to learn about machine learning from a purely math/stats perspective through Andrew Ng's Machine Learning course or self study
автор: Michael L•
Jun 17, 2017
Excellent high level advance course with in depth explanations. It is well structured. It learn me to applied Machine learning from very basics to optimum level. It help me to understand details of Machine Learning in Python.
автор: anurag s•
Jun 29, 2017
Clear, smooth and awesome course. Had fun learning the theoretical stuffs . Assignments and quizzes are really helpful in understanding the concepts. Last assignment helped a lot in applying the things learned in this course
автор: Shreyas M T•
Sep 22, 2018
Everything builds up very nicely on top of each other. A qualm some might have is that part of the assessments might be very simple. However, this is an applied course and the course material stays true to what it promises.
автор: Daniel N•
Jul 10, 2017
I think this course is a real challenge and gives a great introduction to machine learning. I enjoyed it
thoroughly even if I had my troubles with the Quiz questions.. Great course overall, I would recommend it to anyone.
автор: Mohamed H•
Jun 26, 2018
C'est le meilleure cours en pratique que j'ai rencontré dans toute ma vie.je vous remercie énormément pour m'offrir cette cours et je remercié mon professeur pour la simplicité et la méthode avec laquelle a fait ce cours.
автор: Ashish C•
Nov 29, 2019
This is the best course for machine learning. Assignments are really good. It make sure you know all the things that are taught to you. Even some times I had to go through the lectures again to complete the assignment.
автор: Pablo S C S•
Aug 25, 2019
This course was a very very good introduction to ML focusing on SciKitLearn and using many real-life examples and datasets. Prof. Kevyn Thompson is very engaging and professional. I don't know how it could be better.
автор: Piotr K•
Nov 29, 2017
Great course to gain basic ML skills and start building first models. Excellent starting point. Combined with Andrew Ng`s course on Machine Learning it`s great foundation for futher development as AI specialist.
Dec 03, 2017
It is a very practical course if you have learned the Andrew Ng's Machine Learning course. It is much much more practical and I have gained a lot from it. I really wish I could learn it soon. Thanks very much.
автор: Leonid I•
Oct 01, 2018
Maybe this would be difficult to implement in a time-constrained course, but it would be nice to have more insight into inner workings of various algorithms... Because otherwise this course resembles botanics.
автор: Vibhore G•
Feb 09, 2018
From this course you will learn direct application of Machine Learning using python. You can dive into the world of machine learning. Ipython notebooks used are really helpful. Learned a lot from this course.
Feb 15, 2019
It is definitely the best-organized, best-paced, most-worked-on course in this specialization, and from the MOOCs I have ever taken. Strongly recommend for your knowledge and career advance. Great professor!
автор: Tsuyoshi N•
Oct 13, 2018
Excellent course. I liked the projects in this course to recap the theories that I learned in the lecture and examine the new knowledge that I learned by myself with reading python library documents online.
автор: Alexandre M•
Feb 01, 2019
Good class, and it's very nice to have the "applied" machine learning angle (as opposed to focusing on the mathematical / theoretical underpinnings, which are only important at a much later point in time)
автор: Josh B•
Feb 04, 2018
Excellent introductory course to machine learning using python. It covers the basics for the popular supervised machine learning algorithms. I'm excited to build on the knowledge this course has given me.
Jan 22, 2018
A very practical course for machine learning. By this course, one can get familiar with sklearn and pandas basic operation! The last assignment is a challenge for me. Thanks teacher for this great course!
автор: Dongliang Z•
Dec 22, 2017
Very good lecture for beginner:easy to understand.
Also good assignment: force you to use what you learned in the course.
The discussion forum is helpful when you meet difficulties in assignments and quiz.
автор: Steven L•
Apr 08, 2018
Very practical introduction to using Python for machine learning - less focused on theory and more focused on how to use the sklearn library and proper use cases for different classifiers and regressors.
автор: Carlos D R•
Dec 16, 2019
The course offers you a lots fot tools the face ML problems. There are few errors in the notebooks, but everyting is well documented in the forum. Good overview to represent data and train basic models.
автор: Giorgio C•
Aug 25, 2017
The course is well structured and covers all the most important topics. The programming assignment could be a bit more stimulating. Overall I'd recommend this course to everyone who's interested in ML.