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学生对 华盛顿大学 提供的 Machine Learning: Regression 的评价和反馈

4.8
5,472 个评分
1,016 条评论

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

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!

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

筛选依据:

326 - Machine Learning: Regression 的 350 个评论(共 983 个)

创建者 Yin X

Sep 9, 2017

Best course I have had so far on regression at Coursera. Thaaaaaank you Coursera and Washington U!

创建者 Milan C

Apr 10, 2017

Very nice course. The course gave me a good overview in how deep you can dive even with regression.

创建者 juan f r s

May 15, 2016

Excelent course and very well explained. Many thanks to both of you Emily and Carlos. All the best

创建者 Ramesh K

Mar 6, 2016

Lectures and assignments were awesome thanks to the professor for making this easier to understand.

创建者 Tahereh R

Apr 2, 2019

Thorough explanations of the essential concepts are provided! Valuable course and lectures.

Thanks!

创建者 Shalini S K

Apr 18, 2016

Great course! The course material was very well designed. Carlos and Emily are excellent teachers.

创建者 Nguyen T V

Jan 17, 2016

It's very interesting and challenging course, especially at the end. Thank you for your knowledge!

创建者 Matthew M

Jan 5, 2016

This course is an ideal mixture of theory, practical application, and coding. I really enjoyed it.

创建者 Rui W

Jul 16, 2016

Some practical skill and some theoretical knowledge are bought to me. I am so glad to enjoy them.

创建者 Stefano T

Feb 10, 2016

Very interesting course showing in a clear and easy to follow way the key concepts of Regression.

创建者 Omar B

Feb 1, 2017

Great course !

The best thing is when Emily talks about the intuition of each model or algorithm.

创建者 Rafael A

Feb 22, 2016

Once more, excellent delivery by Emily and Carlos. Looking forward to the classification course.

创建者 17 - 4 N B R

Jun 25, 2020

excellent course on regression. each and every concept is clear and in depth.Thank you Coursera

创建者 쥬

May 24, 2016

This course helped me a lot to understand regression. Now I can apply this idea to my own work.

创建者 Michaël L

Mar 30, 2016

Excellent course with lots of hands on !

The teacher is excellent and provide clear explanation.

创建者 Bokai C

Mar 21, 2016

Excellent Lectures!

Suggestions: homework results should be more representative and distinctive.

创建者 Med A D

Jul 16, 2021

Awesome course thank you so much for this valuable informations and good comprehinsive content

创建者 Chengye Z

Nov 27, 2016

It's a very helpful course. I really have leart a lot, by both watching video and programming.

创建者 uma m r m

Jul 13, 2018

The best course, I feel better and confident at regression concepts by the end of the course.

创建者 Jose P

Jun 25, 2016

Really good course. Professors are incredible. Very dynamic. The notes and videos are superb.

创建者 Aparajita K

Jun 14, 2016

All the mathematical details are very precisely and very well explained starting from basics.

创建者 Yinan W

May 3, 2016

A very good course. Glad all the assignments are also compatible with pandas and scikit-learn

创建者 Misha S

Feb 28, 2016

Exceptionally well organized, fun and full of useful content. Bravo to the course organizers!

创建者 Jorge S N

Feb 22, 2016

I liked very much the way this course is structured. Simple and complete. Very well done.

创建者 Wang L

Jan 21, 2016

An Excellent Course, that is able to provide insight and deep understanding about Regression.