Learner Reviews & Feedback for Applied Machine Learning in Python by University of Michigan
About the Course
these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit
learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those
clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit
learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, ...
Top reviews
FL
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!!
AS
Nov 27, 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.
1301 - 1325 of 1,558 Reviews for Applied Machine Learning in Python
By Justin M
•Apr 11, 2018
Great course overall. Only reason for 4 stars is some of the assignments could use a bit more clarity.
By Manjeet K
•Sep 14, 2019
Easy to learn the course, just be focussed. Its an applied ML course, not to expect any mathematics.
By Marcela
•Oct 26, 2024
Challenging, but rewarding. I am glad I finished it. Thanks!! I really feel I learned a new skill.
By Ulka K
•Feb 27, 2020
I found the dataset in the last assignment difficult to interprit. I was hoping for a simpler one.
By Vishwa M
•Sep 4, 2021
Course Content was excellent. I really learned a lot. Assignment 4 was a hassle to submit though.
By Stephen R
•May 8, 2018
Wish there were a little more theory, realize it's an "Applied" course but still seemed lacking
By J N
•May 23, 2021
Teaching by the professor is very good and i learnt every thing from scratch thankyou coursera
By Pierre D
•May 1, 2021
Interesting course. Last exercise allows understanding how to use ML, when you are all alone.
By Michel H
•Jan 23, 2020
helpfull, but so many information in little time. Difficult to get clarified the ideas behind
By Samantha
•Apr 5, 2020
Very great courses ! It helps to deepen my knowledge in Machine learning. Very recommend it!
By Koffi K (
•Oct 14, 2019
A part from some small issues when doing the last assignment(4), Everything was all right.
By Nicholas P
•Dec 30, 2020
Good content and teacher but needs more interactivity before the final project every week
By WhiteCR
•Feb 15, 2020
Good course for practicing machine learning algorithms with Python Sci-kit Learn package.
By soymilk
•Oct 3, 2020
Contents of lecture are good but the assignments got many problems that should be fixed
By Falak S
•Oct 28, 2020
It's really a great course for the beginner to begin with the machine learning basics.
By Haldankar S N
•May 29, 2020
too much content for 4 weeks course as compared to other courses in the specialization
By YJFKD
•May 19, 2020
Good course if you want to know how to build machine learning models via scikit-learn.
By Sumit t
•Jun 23, 2020
Nice Course and good explanation about practical implementation of machine learning
By Niv B
•Jul 30, 2018
On 1x speed, I'd rate it 3 stars, on 1.5x its 4.
The professor just speaks too slow.
By Sabin A
•May 31, 2021
Nice course helps understanding the basic ideas about machine learning algorithms.
By Setiadi S
•Jul 27, 2020
This course is good for somebody wanna to know about the Machine Learning, thanks.
By tqch
•Jul 24, 2020
Just hoping the problems in assignments/quizzes could be explained more clearly.
By Claire-Isabelle C
•Jun 24, 2017
I learned A LOT in this course and was pretty proud to pass all the assignments.
By CHIRAG G 2
•Jan 1, 2023
I learn many things to this course Thank You for make this deep concept course.