Chevron Left
Back to Machine Learning: Regression

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

4.8
stars
5,581 ratings

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

AM

Apr 25, 2020

Very informative, practical course with excellent instructors, I would recommend this course to anyone doing basic machine learning. The only issue I see is that the course can be offered in R.

PH

Apr 6, 2016

This is an excellent course. The presentation is clear, the graphs are very informative, the homework is well-structured and it does not beat around the bush with unnecessary theoretical tangents.

Filter by:

651 - 675 of 1,001 Reviews for Machine Learning: Regression

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 Saleh S

•

Mar 14, 2022

It is all you need!

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

•

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 John L

•

Apr 10, 2016

Good for everybody!

By Jinho L

•

Mar 3, 2016

Very good examples.

By Jie G

•

Jan 12, 2016

So love you guys!!!

By CHANDAN K

•

May 28, 2021

It awesome course.

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 R

•

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 강금규

•

Mar 8, 2021

Excellent class!!

By Akash R

•

May 18, 2020

fun with the task