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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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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

EV

Jun 24, 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 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!

筛选依据：

751 - Machine Learning: Regression 的 775 个评论（共 1,001 个）

创建者 Kalpana j

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May 6, 2021

excellent

创建者 Yuvraj R

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Feb 4, 2021

beautiful

创建者 Neha K

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Sep 17, 2020

EXCELLENT

创建者 PAWAN S

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Sep 16, 2020

EXCELLENT

创建者 Tavva S T

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Jun 20, 2020

excellent

创建者 Dr. A S M M R

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Jun 13, 2020

very good

创建者 Gaurav K J

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Apr 22, 2018

I want to

创建者 FilippoV

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Sep 3, 2017

very good

创建者 Sabyasachi D

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May 19, 2017

Loved it!

创建者 Sanjay A

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Apr 10, 2017

Very good

创建者 Pradeep N

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Aug 14, 2016

super one

创建者 Ling J

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Aug 1, 2016

这门课程很好的啊。

创建者 Kumiko K

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Jun 5, 2016

The best!

创建者 Andrew M

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Mar 29, 2016

Fantastic

创建者 Gopika K

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Nov 2, 2021

Superb!!

创建者 Bruno R M

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Feb 1, 2018

Awesome!

创建者 Badrinath J

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May 3, 2016

The best

创建者 Aniruddha B

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Feb 13, 2016

Superb!!

创建者 Junyong

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Apr 6, 2021

감사합니다~!

创建者 Anshumaan K P

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Nov 10, 2020

COOL XD

创建者 Fakhre A

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May 9, 2018

Awesome

创建者 om (

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May 11, 2017

awesome

创建者 VYSHNAVI P

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Dec 13, 2021

better

创建者 James R

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Oct 16, 2019

G

r

e

a

t

!

创建者 Tariq H

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Oct 3, 2017

Thanks