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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：

351 - Machine Learning: Regression 的 375 个评论（共 1,001 个）

创建者 Chengye Z

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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

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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

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Jun 25, 2016

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

创建者 Aparajita K

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Jun 13, 2016

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

创建者 Yinan W

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May 3, 2016

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

创建者 Misha S

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Feb 28, 2016

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

创建者 Jorge S N

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Feb 22, 2016

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

创建者 Wang L

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Jan 21, 2016

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

创建者 Popovics L

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Dec 28, 2015

Harder than the previous course, but helps to understand machine learning regression in deep.

创建者 Leonardo L

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Sep 13, 2020

Really extensive course, showing many algorithms, applications and techniques of regression.

创建者 Deleted A

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Nov 21, 2016

Excellent course. Concepts are explained clearly and the exercises reinforce understanding.

创建者 Arash A

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Oct 26, 2016

Practical course complete with great content, assignment, and everything else that you need.

创建者 Saurabh S

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Oct 21, 2016

Course made me understand elastic net(lasso+ridge) which helped me in my modelling project

创建者 Med N

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Jan 10, 2016

One of the best courses I have taken!

Very good balance of depth and breadth of the material.

创建者 Thomas E

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May 12, 2016

A bit to easy to get through the exercises but otherwise very enlightening and inspirering.

创建者 Anas E

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Feb 28, 2021

The teacher was really amazing. I liked how clear she was explaining some complex concepts

创建者 Amit K M

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Nov 27, 2020

Excellent contents and videos.... I will encourage all to do this course specialization...

创建者 Rahma A

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Mar 31, 2020

Very informative and detailed, one of the best machine Learning courses i have ever taken!

创建者 Guomao X

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Sep 19, 2016

the material is solid and using python is a good way to learn machine learning programming

创建者 Steven R

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Aug 14, 2016

Great introduction to Regression, would recommend to anyone looking to make a start in ML.

创建者 Ingrid B

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Aug 12, 2016

Really excellent guided course. Well explained and very useful exercises. Highly recommend

创建者 Marnix W

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Mar 22, 2016

Great course well taught. Amazed about the in depth course material and practices. Thanks!

创建者 Peter G

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Feb 26, 2016

Excellent presentation of fundamental concepts and good overview of some specific methods.

创建者 JONATHAN F G H

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Mar 14, 2021

I learned a lot about regression, I am going to enroll in the next course very motivated.

创建者 Jhonatan J

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Jan 31, 2016

great course, I learned a lot. Videos, slides, quiz, programming exercises, a lot of fun.