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

4.8
stars
5,567 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

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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451 - 475 of 998 Reviews for Machine Learning: Regression

By Arjunil P

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Oct 2, 2016

Exquisite course. A lot of content was covered quite thoroughly.

By Rohan K

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May 20, 2017

It was great to work through all the problems programmatically.

By Norman B

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Feb 2, 2016

Great class, very comprehensive. Felt like a University course!

By Eric N

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Oct 11, 2020

Excellent online teaching with clear and concise explanations!

By Xue

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Dec 8, 2018

Very well-organized and clear. Learned a lot about regression.

By Saqib N S

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Aug 10, 2016

Great course with in-depth explanation of math under the hood.

By Abishek R

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Feb 28, 2016

Extremely well planned and prepared. Thank you for the course.

By Eduardo R

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Jan 10, 2016

I really liked the optional lectures with deeper explanations.

By Mukul k

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Apr 22, 2019

excellent course . lots of interesting things i have learned

By Arsalan J

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May 19, 2017

Its the best course up till now i have studied on regression

By Alexandre N

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Dec 20, 2016

Great course laying out important machine learning concepts.

By Razikh S

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Feb 23, 2016

Awesome Course! Much Love to Emily! She is a wonderful prof!

By Honey P

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Jul 10, 2020

Very well crafted course. Highly recommended for beginners.

By Sarah J

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Aug 1, 2019

Great course with an extraordinary teaching team, thank you

By DIVYANSH K

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Aug 6, 2020

It was quite interesting to learn Regression and ML models

By KHALED N

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Apr 8, 2020

it was really excited i learned lot of concepts and skills

By Parab N S

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Oct 12, 2019

Excellent course on Regression by University of Washington

By Naman M

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Jun 15, 2019

It is the best course on the coursera for machine learning

By Shuang D

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Jun 10, 2018

excellent course on regression. great hands-on experience.

By Alberto V H

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Apr 8, 2017

A wonderful course about regression. Strongly recommended.

By Scott B

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Apr 20, 2016

Very practical and applied, great teaching style, and fun.

By James L

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Feb 1, 2016

Great look under the hood of common regression techniques.

By Sandeep J

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Jan 9, 2016

Great Course. So many regression concepts elegantly put!!!

By Md s

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Jun 9, 2019

Awesome Course , really helpful to do things from scratch

By Andrew V G

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Jan 25, 2018

good level of rigor and the notebooks were very well done