Learner Reviews & Feedback for Applied Machine Learning in Python by University of Michigan
About the Course
Top reviews
AS
Nov 26, 2020
great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.
FL
Oct 13, 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!!
451 - 475 of 1,550 Reviews for Applied Machine Learning in Python
By Ahmad A
•Jul 11, 2020
Excellent Course each topic is both theoretically as well as as practically explained. Really a good course
By Akshay S T
•May 24, 2020
Very Intuitive and helpful course for clearing concepts of machine learning and Python's SciKit Learn module
By Nitin K
•Apr 22, 2019
Great Course. Helped me to learn the concepts of Machine Learning and uses of respective Sklearn libraries.
By Mohamed A M A
•Jan 19, 2019
The theoretical part is comprehensive with an excellent balance between the theory and practical exercises.
By HISHAM I A
•Nov 5, 2018
Excellent collection of various types of Machine Learning Algorithms with visual demonstration and example.
By Thomas S
•Jun 21, 2021
A very good review of important fundamental concepts in Machine Learning focusing on the usage of Sklearn.
By Rahul S
•Dec 8, 2019
This course is Beautifully crafted to cover most of the important concepts of supervised machine learning.
By Chris E
•Jan 19, 2019
Content and phase are very good. Very clear explanation of topic by the instructor. Appreciate it so much.
By Lari L
•Jul 3, 2021
The course gives deep knowledge on the subject as well as best practices and strong practice assignments.
By abdelrahman a
•Dec 9, 2020
the most interesting thing in the course was treating the students as if they are already data scientists
By Anurag W
•Jul 18, 2019
This Course really provides great learning on Advance Machine learning techniques with Python application
By Matt E
•Aug 29, 2017
Learned a lot in this course! Much better than the previous two and also taught by a different professor.
By Fettah K
•May 9, 2021
Taking these lessons from some of the world's most prestigious universities and professors is priceless.
By Alexander A
•Aug 16, 2020
Excellent Course. The only one problem is the duration of videos. The codes in Jupyter are very elegants
By Miguel Á B P
•Jul 28, 2018
What a challenge. Incredible course, no words. Excellent pedagogy from professor Kevyn Collins-Thompson.
By aerr96
•Jul 8, 2018
Good choice for Machine Learning introduction, Data Analysis in Python and applied statistical concepts.
By Mile D
•Oct 17, 2017
After this course you will be able to do your own analysis using machine learning which is really great.
By Allyson D d L
•Dec 3, 2021
Another good course of the specialization. The videos are a little boring but the assignments are good.
By Shashwenth.M
•Dec 19, 2019
Seriously THE BEST for gaining a broad knowledge about machine learning techniques in a applied manner.
By Min L
•Feb 6, 2019
A very good course to start journey on data science. Good combination of reading, lecture and practice.
By Mikhail E
•Sep 22, 2020
Great course, though was a bit difficult for me, as I wasn't very familiar with math side of the issue
By Francesco S
•Mar 20, 2018
Excellent couse, I've gained real knowledge and the lecture is very thorough! Challenging and intense.
By OUMEYMA F
•Dec 23, 2019
What I loved about this course is the consistency of its content and the quality of its presentation.
By Zachary Q
•Aug 19, 2019
Was a great class where I learned to apply existing knowledge about ML to the actual background info!
By Abdur R M
•Sep 24, 2018
Covers most of the basic supervised Machine learning Algorithms in SciKit-Learn from application POV.