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学生对 University of Washington 提供的 Machine Learning: Regression 的评价和反馈

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5,581 个评分

课程概述

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....

热门审阅

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

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.

筛选依据：

626 - Machine Learning: Regression 的 650 个评论（共 1,001 个）

创建者 xichen

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Mar 7, 2016

Really cool and practical

创建者 chand b

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Nov 22, 2018

Amaizing one.. You Rocks

创建者 Jonathan C

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Jan 3, 2018

so much good information

创建者 Oscar A B D

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Jun 12, 2017

Excellent specialization

创建者 Changik C

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Oct 25, 2016

Learned a lot recommend!

创建者 Lex T

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Feb 22, 2016

Really great stuff guys!

创建者 Syed S H

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Oct 10, 2021

Appreciated the content

创建者 Veera K R

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Mar 16, 2020

Informative and Useful.

创建者 JAMES R P B

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Sep 13, 2019

Good learning materials

创建者 Aakash S

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Jun 5, 2019

Amazing Course. Thanks.

创建者 Mao M

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Apr 28, 2019

Very good for beginners

创建者 Ayush K

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Mar 7, 2019

Great in-depth coverage

创建者 Carlos L

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Jan 19, 2016

I learned a lot! Thanks

创建者 MOHAMED E A

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Dec 14, 2020

very detailed course!!

创建者 Deba K D

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Jan 20, 2020

Very good for learning

创建者 pavan b

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Jan 21, 2019

Very good assignments.

创建者 Aadesh N

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Jun 13, 2016

Great course materials

创建者 汪彦龙

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Jan 19, 2016

The course is awesome!

创建者 DONG Z

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Dec 31, 2015

Best course! really!!!

创建者 SUBBA R D

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Jun 13, 2020

course is more useful

创建者 Cosmos D I

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Nov 15, 2019

Good and interesting!

创建者 DHARMVIR K

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Aug 8, 2018

It was great learning

创建者 Claus B

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Oct 8, 2017

Great hands-on course

创建者 Kevin Y

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Jun 26, 2017

Very good instructors

创建者 Chris W

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Jan 10, 2016

Another great module.