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 1,509 Reviews for Applied Machine Learning in Python
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 Alejandro R
•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.
By KylinMountain
•Jun 7, 2018
It's very impressive.
I suggest If we add a kaggle competition as a overall summery, that'll be great.
By Megan J
•Dec 31, 2018
In depth understanding is required to complete the assignments. Challenging without being demanding.
By Evan G
•Jul 23, 2018
Quick way to get exposed to supervised learning algorithms. Lays a nice foundation for ML in python.
By ETENDRA V
•Sep 30, 2021
Very Good Course. I'll highly recommended pre requisites are basic knowledge of python programming.
By David R
•Jul 21, 2020
Nice survey of machine learning techniques and tutorial on the scikit-learn toolbox. Very helpful.
By Yashar Z
•Aug 29, 2017
This course is one of the best courses for ML. The teacher teaches concepts clearly and completely.
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