Learner Reviews & Feedback for Machine Learning: Regression by University of Washington
About the Course
(price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can
be applied. Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in
high-performance computing, to analyzing which regulators are important for gene expression. In this course, you will explore regularized
linear regression models for the task of prediction and feature selection. You will be able to handle very large sets of feature...
Top reviews
KM
May 4, 2020
Excellent professor. Fundamentals and math are provided as well. Very good notebooks for the assignments...it’s just that turicreate library that caused some issues, however the course deserves a 5/5
EV
Jun 24, 2016
An in-depth overview of the regression techniques and models. I think it went as deep into the concepts as I wanted it to go. Being a developer I found it quite understandable, and useful.Keep it up!
401 - 425 of 1,000 Reviews for Machine Learning: Regression
By Rashi K
•Dec 27, 2015
This was a great course and had in depth insights on a single topic. Worth doing.
By SATYAM S
•Mar 1, 2016
This course was simply awesome. Professors have explained every concept so well.
By zhongkai m
•Feb 12, 2019
It provided practical details the are not described to much in others' courses.
By Dhanasekar S
•Dec 31, 2016
Wonderfully organized and explained. Especially the Lasso and Ridge Regression!
By Robert R
•Jan 5, 2016
Just enough detail for beginners to provide a deep understanding of the subject
By Enrique J A R
•Dec 29, 2015
I enjoyed specially the part about performance assessment and cross validation.
By BHANWAR L
•Aug 19, 2020
Nice course quality content on videos of machine learining thanks for coursera
By Vaibhav O
•Jan 3, 2017
Excellent course on Regression! Must do for some serious hands on in the field
By Arghad A
•Jan 14, 2016
One of the best courses I've done ever... thank you Emily you are the best ...
By Miao J
•Dec 17, 2015
Great course, which offer you a very practical experience in machine learning!
By Abu M S K
•Apr 10, 2016
The instructors give beautiful explanations which make course fun and doable.
By Abdul B M
•Apr 5, 2020
Professors did the wonder. Really got some good stuff. Strongly recommended.
By Hongzhi Z
•Feb 5, 2018
Very Vivid and learn a lots, best AI specialization in Washington university
By Sandeep B S
•Aug 25, 2018
Great content from the professor, learning regression was very interesting
By Otto L
•Dec 15, 2021
The lab-sandbox is great. Maybe consider updating notebooks to Python 3.x.
By Farzin F
•Feb 6, 2017
One of the most awesome courses in Machine Learning, with awesome mentors.
By Biswa D
•Sep 27, 2016
Clearly illustrates the essential concepts to prep for more advanced stuff
By Daniel Z
•Mar 8, 2016
The most important aspects of regression are approached clear and precise
By WONG H L
•Jun 2, 2020
Good course. Good instructor. A nice balance between hands-on and theory.
By Suraj S G G
•Jan 7, 2018
This course is really very helpful as well challenging for the learrners.
By Prasant K S
•Jan 9, 2017
This is a fantastic course with lot of hands on programming applications.
By Mark T
•Jan 28, 2016
More excellent material presented and explained incredibly well. Thanks!
By Krisda L
•Jul 19, 2017
Great course. It covers a lot of regression techniques you should know.
By Ayan M
•Aug 8, 2016
Absolutely fantastic and pretty much enriching the knowledge. Thank you!
By Jerome G
•Jan 6, 2016
Thanks Emily and Carlos, it was a very great moment when light come in !