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

4.8
stars
5,574 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

KM

May 5, 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

EV

Jun 25, 2016

An in-depth overview of the regression techniques and models. I think it went as deep into the concepts as I wanted it to go. Being a developer I found it quite understandable, and useful.Keep it up!

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376 - 400 of 1,000 Reviews for Machine Learning: Regression

By Suoyuan S

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Jan 21, 2016

Good course, but could improve the quiz. Currently the quiz are too easy for ML learners.

By Dr. R K M

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Jan 21, 2021

excellent course for boosting the knowledge in the area of machine learning (Regression)

By Harshavardhan N

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May 8, 2020

It was really a great experience for me. The content in this course are really in-depth.

By Alejandro T

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Dec 4, 2016

Very thorough course and very approachable much better than course one of specialization

By misuzukira

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Dec 29, 2015

professors are outstanding.I can easily get access to what they teach,thanks for your ha

By Chris S

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Aug 3, 2017

Great course. Heavy on the math but could use a little more on the implementation side.

By YASHKUMAR R T

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Mar 24, 2019

The mathematical proof and concept given behind lasso and ridge regression is awesome.

By Refael J

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Dec 23, 2018

Very good course. The lecturer is very good and the information is very comprehensive.

By Dmitri T

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Apr 25, 2016

Great course and makes a solid practical foundation for regression. Really enjoyed it.

By James D

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Apr 9, 2016

Great instructors make this course one of the best I have taken. Thank you very much!!

By Arthur Z

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Feb 24, 2017

Top notch material presented in a really enjoyable manner. The professors are great.

By Jifu Z

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Jul 23, 2016

Good class, But it would be much better if the quiz is open to those who doesn't pay.

By Nihar S

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Apr 21, 2016

Great class that breaks down machine learning concepts into simple digestible pieces.

By Raj

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May 27, 2017

Course was made very intuitive & easy to understand with a case study based approach

By Soumya

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Mar 5, 2016

a little more details considering the the cost of the module would be appreciatiated

By Dae K L

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Feb 15, 2017

Good lecture, nice explanation for statics and machine learning and greate examples

By Deleted A

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Nov 23, 2016

Good pace, thorough presentation, challenging but reasonable programming exercises.

By Alex K

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Jan 18, 2016

Very clear and visual explanations of the mathematics behind regression algorithms.

By Amar P

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Oct 14, 2016

very good quality course. Some more stress should be given to theoretical quizzes.

By adeidowu@hotmail.com

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May 7, 2016

A very well taught course.

Also very good instructors.

I really enjoyed this course.

By Dhruvil S

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Nov 3, 2017

Awesome Course. Best Course To Learn Regression Fundamentals Of Machine Learning.

By 李紹弘

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Aug 4, 2017

This course gave me full concept of the technique of machine learning-Regression.

By Konstantinos P

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Feb 14, 2017

Generally, very organized and helpful course.

The video presentations are perfect!

By Jennifer H

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Apr 14, 2016

Excellent introduction to regression - filled in a lot of concepts that I needed!

By Shikhar V

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Mar 7, 2016

Very nice course! Every concept is explained in detail with proper illustrations.