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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

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!

筛选依据：

701 - Machine Learning: Regression 的 725 个评论（共 1,001 个）

创建者 Abbas K

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Aug 13, 2020

Thanks for all

创建者 Neemesh J

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Oct 26, 2019

Awesome course

创建者 Yufeng X

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Jun 14, 2019

Best lectures!

创建者 Belal M

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Oct 13, 2017

perfect course

创建者 Mohini

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Oct 20, 2019

Great Course.

创建者 VITTE

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Jun 9, 2018

Great course.

创建者 Suneel M

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May 8, 2018

Excellent cou

创建者 Lyu Y

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Oct 24, 2017

Great Courses

创建者 Binil K

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Jul 4, 2017

nice course!!

创建者 Tomas K

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Jan 26, 2017

Great course!

创建者 Anaís G

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Apr 22, 2016

great course!

创建者 Phan T B

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Apr 17, 2016

Great course!

创建者 丁柏楠

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Jul 27, 2020

Very useful.

创建者 Manikant R

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Jun 18, 2020

Great Course

创建者 Matthew S

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Feb 12, 2020

Great class!

创建者 Weilin C

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Jan 26, 2018

very helpful

创建者 Isura N

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Dec 28, 2017

WOW I got it

创建者 Liekens W

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Jan 31, 2017

Great course

创建者 Shubham J

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Jan 14, 2017

Great Course

创建者 邓松

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Dec 5, 2016

very helpful

创建者 Xiaowei L

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Oct 14, 2016

great course

创建者 Leonardo J T G

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Aug 22, 2016

The best !!

创建者 Andrey B

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Jun 13, 2016

Thank you!!!

创建者 Haolei F

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Apr 15, 2016

great class!

创建者 Tamir Z

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Mar 17, 2016

Great course