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Learner Reviews & Feedback for Machine Learning: Classification by University of Washington

4.7
stars
3,734 ratings

About the Course

Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a
class (positive/negative sentiment) from input features (text of the reviews, user profile information,...). In our second case study for this
course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank. These tasks are
an examples of classification, one of the most widely used areas of machine learning, with a broad array of applications, including ad targeting,
spam detection, medical diagnosis and image classification. In this course, you will create classifiers that provide state-of-th...
...

Top reviews

SM

Jun 15, 2020

A very deep and comprehensive course for learning some of the core fundamentals of Machine Learning. Can get a bit frustrating at times because of numerous assignments :P but a fun thing overall :)

SS

Oct 16, 2016

Hats off to the team who put the course together! Prof Guestrin is a great teacher. The course gave me in-depth knowledge regarding classification and the math and intuition behind it. It was fun!

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401 - 425 of 589 Reviews for Machine Learning: Classification

By Joshua C

May 3, 2017

Awesome!

By Roberto E

Mar 1, 2017

awesome!

By Isura N

Dec 28, 2017

Hoooray

By Anshumaan K P

Nov 11, 2020

NYC ;)

By Shashidhar Y

Apr 2, 2019

Nice!!

By Vyshnavi G

Jan 24, 2022

Ossum

By Md. T U B

Sep 2, 2020

great

By Subhadip P

Aug 4, 2020

great

By Nicholas S

Oct 7, 2016

Great

By 李真

Mar 6, 2016

great

By Vemuri s s n s d s

Jan 24, 2022

good

By VYSHNAVI P

Dec 13, 2021

GOOD

By SAYANTAN N

Oct 29, 2021

good

By boulealam c

Dec 15, 2020

good

By Saurabh A

Sep 11, 2020

good

By SUJAY P

Aug 21, 2020

nice

By ANKAN M

Aug 16, 2020

nice

By Dr S J

Jun 19, 2020

good

By AMARTHALURU N K

Nov 24, 2019

good

By RISHI P M

Aug 19, 2019

Good

By Akash G

Mar 10, 2019

good

By xiaofeng y

Feb 6, 2017

good

By Kumiko K

Jun 5, 2016

Fun!

By Maram A A

Dec 31, 2022

🙏

By Arun K P

Oct 17, 2018

G