Chevron Left
返回到 Machine Learning: Regression

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

5,480 个评分
1,017 条评论


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....



May 4, 2020

Excellent professor. Fundamentals and math are provided as well. Very good notebooks for the’s just that turicreate library that caused some issues, however the course deserves a 5/5


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!


401 - Machine Learning: Regression 的 425 个评论(共 984 个)


Aug 19, 2020

Nice course quality content on videos of machine learining thanks for coursera

创建者 Vaibhav O

Jan 3, 2017

Excellent course on Regression! Must do for some serious hands on in the field

创建者 Arghad A

Jan 14, 2016

One of the best courses I've done ever... thank you Emily you are the best ...

创建者 Miao J

Dec 17, 2015

Great course, which offer you a very practical experience in machine learning!

创建者 Abu M S K

Apr 10, 2016

The instructors give beautiful explanations which make course fun and doable.

创建者 Abdul B M

Apr 5, 2020

Professors did the wonder. Really got some good stuff. Strongly recommended.

创建者 Hongzhi Z

Feb 5, 2018

Very Vivid and learn a lots, best AI specialization in Washington university

创建者 Sandeep B S

Aug 25, 2018

Great content from the professor, learning regression was very interesting

创建者 Otto L

Dec 15, 2021

The lab-sandbox is great. Maybe consider updating notebooks to Python 3.x.

创建者 Mahmoud F

Feb 6, 2017

One of the most awesome courses in Machine Learning, with awesome mentors.

创建者 Biswa D

Sep 27, 2016

Clearly illustrates the essential concepts to prep for more advanced stuff

创建者 Daniel Z

Mar 8, 2016

The most important aspects of regression are approached clear and precise

创建者 WONG H L

Jun 2, 2020

Good course. Good instructor. A nice balance between hands-on and theory.

创建者 Suraj S G G

Jan 7, 2018

This course is really very helpful as well challenging for the learrners.

创建者 Prasant K S

Jan 9, 2017

This is a fantastic course with lot of hands on programming applications.

创建者 Mark T

Jan 28, 2016

More excellent material presented and explained incredibly well. Thanks!

创建者 Krisda L

Jul 19, 2017

Great course. It covers a lot of regression techniques you should know.

创建者 Ayan M

Aug 8, 2016

Absolutely fantastic and pretty much enriching the knowledge. Thank you!

创建者 Jerome G

Jan 6, 2016

Thanks Emily and Carlos, it was a very great moment when light come in !

创建者 Prakash M

Feb 27, 2022

Concepts are clear, Neeto do deep dive on it. Thanks for the lecturers.

创建者 Kevin

Jun 28, 2019

Clear explanation on regularization as well as bias-variance trade-off.

创建者 Ayush K G

Sep 25, 2017

This course is full of information about regression in very simple way.

创建者 Angel S

Dec 25, 2015

Excellent course in the line of the specialization. Highly recommended.

创建者 Abhilash

Dec 17, 2015

Got more insight to the terms and the methods used in Regression models

创建者 Ayush P

Aug 24, 2020

Very detailed information was provided in this course. Just loved it!!