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:

526 - 550 of 1,001 Reviews for Machine Learning: Regression

By Sumit K

•

May 5, 2020

I exprienced many good things in this course.

By PRAVEEN R U

•

Nov 22, 2018

Nice content with hands-on. Much recommended.

By Lalithmohan S

•

Mar 6, 2018

Fantastic content, so much to gain from this

By Phuong N

•

Aug 22, 2017

Great course! !!! Topics are well-explained.

By Lin Y

•

Mar 27, 2017

The best machine learning course on Coursera

By Trinh N Q

•

Jan 28, 2018

Give me a good understanding of Regression.

By kp

•

Mar 20, 2017

great explanation of the concepts involved!

By clark.bourne

•

Apr 20, 2016

Professional, comprehensive, worth to learn

By Mathias L

•

Mar 15, 2016

Very complete course and easy to understand

By Mudambi S S

•

Feb 10, 2016

The best course on Machine Learning so far!

By Gustavo S

•

Sep 12, 2020

Good trade-off between theory and practice

By QZ Z

•

Feb 18, 2017

Really can use in solving industry problem

By THARANGINI S

•

Jan 3, 2017

Excellent Fundamental course on Regression

By Kazi N H

•

Jan 13, 2016

One of awesome series of machine learning!

By Bowen F

•

Jul 19, 2020

feel really well when finish this course!

By Xuening H

•

Nov 30, 2019

So organized, so in depth, so much fun!!!

By WEI Y

•

Jul 5, 2018

Really great course! Highly recommend it!

By Sal E

•

Mar 22, 2018

I could give this course 6 out of 5 stars

By Dongliang Z

•

Feb 4, 2018

very good course! I enjoyed it very much.

By Mai T

•

Jun 26, 2016

Great content and very well instructions

By Sean L

•

Jun 25, 2016

a wonderful course about machine learning

By James F

•

Apr 27, 2016

One of the best courses I've ever taken.

By Raul O

•

Mar 25, 2016

Incredible course!

I totally recommend it

By Bingnan L

•

Dec 24, 2015

Very good, good practise! Good lectures!

By fernandes m

•

Oct 3, 2020

This was the most difficult I ever had.