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
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.
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!!
501 - 525 of 1,558 Reviews for Applied Machine Learning in Python
By Mohamad F I
•Jun 25, 2018
A good course focusing on basics of machine learning. Great for beginner with python knowledge.
By Ivan R
•Aug 6, 2017
Great course that covers the key aspects of machine learning in a manner that is easy to follow
By Dmitry B
•Jul 22, 2017
This course is the fast lane to hands-on experience with machine learning tools and algorythms!
By Martin H
•Jul 6, 2017
very excellent course, must take if you are welling to deal with data and applying ML al. to it
By miguel c
•Mar 10, 2019
Great collection of applied Data Science concepts, worked examples and challenges using python
By Imre V
•Feb 25, 2019
Great and Strong fundamentals on machine learning without too much mathematics involved in it.
By MANISH S 2
•Dec 25, 2022
I am very happy that I have completed Applied Machine Learning in python course from Coursera
By harsh J
•Feb 14, 2021
Best Practical Course Ever Found. Learned many new things and applied them to other projects.
By Reginaldo S
•Apr 7, 2020
This course is perfect for those who wants to learning machine learning techniques in Python.
By Arpit S
•Jun 13, 2019
A Great course, the extra offered learning material helped me out to dig deep into the course
By Wix Z
•Apr 28, 2019
I can build a easy machine learning pipeline by myself after learning a lot from this course.
By Abe G V T S
•Oct 8, 2017
Great course! Very recommended! Though the assignments were kinda hard, but they are worth it
By Tai J S
•Dec 8, 2023
very insightful content and i like the assignments/quizzes to test the things learnt from it
By Ardong S
•Sep 6, 2020
highly recommended course for intermediate machine learning practitioner (or also beginner).
By Daniel W
•Jun 11, 2020
Very nice course to better understand Scikit Learn and Python potential for Machine Learning
By Sultan A
•Nov 8, 2019
the course was fun and full of information to learn. very well professor. thank you so much.
By Felipe F F
•Aug 30, 2019
Excellent applied course! Very intuitive and the instructor is very kind in his explanations
By Devashish S
•Sep 8, 2017
Really hands on course and the perfect way to get to know the domain and learn ML in Python.
By Bernard F
•Jul 31, 2017
Excellent balance of theory and practical work through code samples, quizzes and assignments
By Qamarul A A M
•Oct 10, 2022
very insightful. appreciate the more practical application of the libraries and packages
By Junqing Z
•Oct 5, 2021
Really useful course. Love the talking pace of the instructor Prof. Kevyn Collins-Thompson!
By Mengru Z
•Mar 19, 2021
Quite challenging course to get started with machine learning! Interesting and worth a try!
By Ishan D
•Sep 27, 2020
Best course to learn applied machine learning and you'll be able to apply in real life too.
By Gustavo W
•Jun 19, 2017
Great course! Introduces ML algorithms using python's scikit-learn in an easy to follow way
By Jun W
•Aug 4, 2018
A very good course. The Jupyter Notebook of this course is very useful and self-contained.