Back to Machine Learning: Regression
Learner Reviews & Feedback for Machine Learning: Regression by University of Washington
5,576 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 feature...
(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 feature...
Top reviews
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!
PD
Mar 17, 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!
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