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

4.8
stars
5,266 ratings
984 reviews

About the Course

Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (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 features and select between models of various complexity. You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions. To fit these models, you will implement optimization algorithms that scale to large datasets. Learning Outcomes: By the end of this course, you will be able to: -Describe the input and output of a regression model. -Compare and contrast bias and variance when modeling data. -Estimate model parameters using optimization algorithms. -Tune parameters with cross validation. -Analyze the performance of the model. -Describe the notion of sparsity and how LASSO leads to sparse solutions. -Deploy methods to select between models. -Exploit the model to form predictions. -Build a regression model to predict prices using a housing dataset. -Implement these techniques in Python....

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

PD
Mar 16, 2016

I really enjoyed all the concepts and implementations I did along this course....except during the Lasso module. I found this module harder than the others but very interesting as well. Great course!

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726 - 750 of 951 Reviews for Machine Learning: Regression

By Sanjay A

Apr 11, 2017

Very good

By Pradeep N

Aug 14, 2016

super one

By ChristopherKing

Aug 2, 2016

这门课程很好的啊。

By Kumiko K

Jun 5, 2016

The best!

By Andrew M

Mar 29, 2016

Fantastic

By Bruno R M

Feb 1, 2018

Awesome!

By Badrinath J

May 3, 2016

The best

By Aniruddha B

Feb 13, 2016

Superb!!

By Anshumaan K P

Nov 11, 2020

COOL XD

By Fakhre A

May 9, 2018

Awesome

By Om P

May 11, 2017

awesome

By James R

Oct 16, 2019

G

r

e

a

t

!

By Tariq H

Oct 3, 2017

Thanks

By Saeed M

Sep 21, 2017

great!

By Cuiqing L

Jan 28, 2017

great!

By 병진 김

May 24, 2016

good!!

By Volodymyr L

Mar 6, 2016

Super!

By Xiaoyang G

Jan 10, 2016

Thanks

By Prabal G

Oct 20, 2020

great

By Md. T U B

Aug 26, 2020

great

By SUJAY P

Aug 21, 2020

great

By Subhadip P

Aug 4, 2020

great

By Douba

May 30, 2020

YEAHH

By FOTSING K H C

Aug 4, 2019

great

By 李真

Feb 19, 2016

Great