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

4.8
stars
5,286 ratings
986 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

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!

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

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626 - 650 of 953 Reviews for Machine Learning: Regression

By Chris W

Jan 10, 2016

Another great module.

By Jarun N

Dec 23, 2015

concise and practical

By RAVINDRA K S

Sep 24, 2020

Nice course.........

By jun l

Mar 8, 2016

the course is great!

By Antonio d R

Jan 7, 2016

It's a great course.

By Abdullah A F

May 9, 2020

I have learnt a lot

By Kritartha G

Jan 7, 2020

Really great course

By Akash G

Mar 9, 2019

regression best now

By Itrat R

Jan 22, 2017

Excellent Course!!!

By Georgios D

Oct 4, 2016

Absolutely amazing.

By Roger S

Sep 4, 2016

This Course is COOL

By Nelson M M R

Jul 21, 2016

Thanks, Amaizing !!

By 李扬骏

Apr 11, 2016

Good for everybody!

By Jinho L

Mar 3, 2016

Very good examples.

By Jie G

Jan 12, 2016

So love you guys!!!

By Rohit

Aug 3, 2020

very useful course

By Dr C B M J U

Jun 8, 2020

Best lectures ever

By AJAY K

Oct 13, 2019

Excellent Tutorial

By Lucifer Z

Jul 4, 2019

awesome ML course!

By rahul

Dec 31, 2017

Awesome Course!!!!

By Chencheng X

Feb 22, 2016

Really good course

By Jair d M F

Jan 7, 2016

Very cool. Thanks!

By Akash

May 18, 2020

fun with the task

By Deepa K

May 6, 2018

excellent content

By Erik E

Mar 15, 2018

Very good course.