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學生對 华盛顿大学 提供的 Machine Learning: Regression 的評價和反饋

4.8
5,480 個評分

課程概述

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....

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PD

2016年3月16日

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

2020年5月4日

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

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276 - Machine Learning: Regression 的 300 個評論(共 984 個)

創建者 Sergio D H

2016年2月6日

One of the best MOOCs I've ever tried. Great course materials and incredibly talented instructors. I can't recommend it enough.

創建者 Luciano S

2017年8月7日

I learned a lot of new concepts in this course. It is important to dive deeper than just understing how to use a set of tools.

創建者 Rama K R N R G

2017年8月19日

I really liked the progression of the topics and coverage. Good presentation with good amount of details/depth in each topic.

創建者 akashkr1498

2019年3月28日

please take care while framing assignment and quize question it is very difficult to understand what exactly u want us to do

創建者 Ji H K

2020年8月13日

This is a great course to understand the knowledge and concept of regression and also there are very useful practical quiz.

創建者 Evaldas B

2017年11月28日

Very good and accurate course about regresion. Not just the basics but a lot of things you can use in real life chalenges.

創建者 Syed A R

2016年1月10日

Exceptional course!. Emily went into great details of the regression algorithms and its application. Thoroughly enjoyed it.

創建者 George G

2018年10月10日

The course provided many useful insights on Regression techniques, and provided in depth understanding of the task in hand

創建者 LAVSEN D

2016年7月30日

A very good introduction to Machine Learning: Regression, covering the wide range of topics and explanations in lucid way.

創建者 Sanjeev B

2016年1月10日

Great instructors! Wish the problem sets were tougher and required more deeper thinking and choice of techniques to apply.

創建者 Rajesh V

2017年1月30日

This course has a very detailed explanation of regression and quizzes which evaluates your understanding of the material.

創建者 Aaron

2020年5月2日

Good introduction to regression with many crucial concepts, very friendly to the new learner on machine learning domain.

創建者 venkatpullela

2016年10月26日

The course is really good. The quizzes and support is really bad as they slow you down and distract with useless issues.

創建者 Renato R S

2016年2月19日

A very well designed course. I would recommend to anyone with serious goals on learning regression and machine learning.

創建者 Min K

2017年9月14日

Thank you very much to Instructor "Emily and Carlos" for such an excellent and very informative course on regression :)

創建者 abhay k

2019年9月13日

What I was trying to get at my starting stage in ML for last 2 months, this course given in 2 weeks.

Thank you coursera

創建者 Oscar J

2019年5月16日

Step by Step about Regression explained well and easy to understand. Mandatory course for every data science begginer.

創建者 Kishaan J

2017年5月30日

Talks about each and every nitty-gritty details of the different types of Regression algorithms that are in use today!

創建者 Ruben S

2016年2月7日

Great course which covers most of regression topics and important thigns such as lasso regression or ridge regression.

創建者 Matthias B

2016年1月3日

Great Course, well structured and following a clear path. Would enjoy some more of the optional technical backgrounds!

創建者 Barnett F

2016年9月6日

Bingo course, I learned two years ago ,but I just know the concepts, do not know how to code it ,now this course,,,,,

創建者 Bipin A

2020年7月26日

I was very satisfied by the way the courses are taught. And the assignments are not boringly easy. Would recommend.

創建者 Rahul M

2016年2月27日

It is an awesome Course For Beginners. But I wanted it to be in R since it is more easier to implement things in R.

創建者 Jonathan L

2016年1月14日

Visualization of ridge regression and lasso solution path in week 5 is worth the cost of the entire specialization.

創建者 Devasri L

2020年4月10日

Very helpful course. I sincerely thank Coursera and University of Washington to provide this opportunity to learn.