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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.

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551 - 575 of 1,001 Reviews for Machine Learning: Regression

By Tushar S

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May 16, 2020

One of the best course I've ever taken.

By Ismael T

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Sep 27, 2016

One of the best course that i did it :)

By Moayyad Y

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Apr 17, 2016

best regression course , full details .

By Rishu R

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Oct 6, 2019

One of the best hands on course on ML.

By Alan C

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Mar 25, 2018

Excellent course! Learn a lot. Thanks!

By Garvish

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Jun 14, 2017

Great Information and organised course

By Priyesh R

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Nov 12, 2016

Awesome course and awesome instructor.

By Darryl L

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Oct 27, 2016

good, also explained greatly in detail

By David E

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Jun 13, 2016

great class. Challenging but worth it.

By Fabricio N

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Mar 27, 2016

Best course in data science out there.

By Venkata D

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Dec 29, 2015

Great material, homeworks and teaching

By Pawan y

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Dec 1, 2019

A Very good course for ML regression.

By Juncheng P

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Mar 7, 2017

a very detailed courses on regression

By Hongkun Z

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Feb 7, 2016

Best online course about regression.

By Kishwar K

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Feb 6, 2016

Highly recommended. Perfect Course..

By Shashank G

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May 20, 2018

Excellent course with good hands-on

By Dennis S

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Aug 24, 2017

Thank you for this great course! :)

By rahul b

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Jun 14, 2017

Best Machine Learning Course ever..

By Phong K D

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Apr 13, 2017

Very insightful and exciting course

By Yihong C

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Mar 31, 2016

wonderful explanation of regression

By Syed T S

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May 21, 2020

Very Detailed Course on Regression

By Manish K

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May 13, 2020

very detailed and intuative course

By S G

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Apr 18, 2020

just amazing course.great material

By Cuong H

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Oct 16, 2017

A great course! Thank you so much!

By Ahmed M M

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Sep 7, 2016

awesome course, really i loved it