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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
5,472 個評分
1,016 條評論

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....

熱門審閱

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

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!

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301 - Machine Learning: Regression 的 325 個評論(共 983 個)

創建者 Jim J

2018年11月1日

Great course and well explained. Need to invest time if you want to rally get benefit out of the content covered.

創建者 Chokdee S

2017年4月15日

This is one of my favorite courses for ML, The best course for learning regression stuffs ever. I really love it.

創建者 kripa s

2019年3月25日

I must say it was great learning experiance. Everything releted to ML regression has been covered so eloquently.

創建者 Marcus C

2016年2月8日

great in depth course on regression. I really enjoyed the implementations of different algorithms all by myself.

創建者 Mr. J

2020年1月9日

I am giving 5 stars. Visualization of regularization is illuminating. The programming assignments are useful.

創建者 Sushil B

2016年9月8日

Well organised. In depth optional lectures help you learn more about the theoretical foundations. Recommended.

創建者 Gilles D

2016年6月1日

Very good course, will teach you a lot about regression and it will become second nature doing it on your own.

創建者 Ashutosh A

2016年2月9日

Nice illustrations and concepts are explained in clear & concise way through real life examples and data sets.

創建者 Xiaohua X

2016年2月2日

This course covers a lot of ground. It not only has hands on practices but also explains the algorithm behind.

創建者 siddhesh m

2022年5月29日

Really great course, the the deatils and intuation learned by this course is really asmezing. Thansk a lot.

創建者 SATYAM C

2018年6月27日

ever best for regression. even better than Andrew NG. Detailed Mathematics explanation is part of this course

創建者 Jay Y

2021年8月20日

Thank you. Very engaging course, and excellent teachings of inner workings of the various regression models.

創建者 NAKKA V S B

2016年9月22日

Very good course on Regression but statistical inferences could have been added to give a completion feeling

創建者 Yuan L

2017年8月8日

A great course covering most of the fundamental concepts and techniques! Very detailed and well explained!

創建者 Aliaksandr K

2017年1月28日

It's really practical course which covers a lot of main regression concepts and great teachers. Thank you!

創建者 Amlan D

2016年3月25日

Nice intro to regression! Shorter lectures and more programming challenges would have made it even better.

創建者 Kunal B

2016年6月2日

This course is awesome. It stimulated my interest throughout the course. Course Material was very useful.

創建者 Frank L

2017年7月2日

Great Course! Very well explicated and clear. It's a good start for the beginners and not so beginners.

創建者 Regis

2017年3月31日

I learnt a lot during this course. The content was very well delivered, and the labs were very helpful.

創建者 Giovanni B

2015年12月25日

I think this course is great, Emily and Carlos explain things so clearly and provide excellent material

創建者 יונתן ה

2021年11月27日

Great course. Good assignments - python implementations, different than the known Stanford's ML course

創建者 Alexis C

2016年5月9日

very intuitive explanations. learned a lot, despite having taken many machine learning classes before.

創建者 Tripat S

2016年1月10日

This is the best course in ML...Prof Carlos and Prof Fox are the best ....Would recommend for evryone

創建者 Arnold A

2017年5月6日

It is really useful and an eye-opening course, especially if you are interested in machine learning.

創建者 Taehee J

2016年9月13日

I like this course since it teaches the fundamental concept of regression with hands-on programming.