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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：

451 - Machine Learning: Regression 的 475 个评论（共 1,001 个）

创建者 Sean Q Z

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Dec 8, 2016

Very good course with well-designed slides and ipython notebook.

创建者 Arjunil P

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Oct 2, 2016

Exquisite course. A lot of content was covered quite thoroughly.

创建者 Rohan K

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May 20, 2017

It was great to work through all the problems programmatically.

创建者 Norman B

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Feb 2, 2016

Great class, very comprehensive. Felt like a University course!

创建者 Eric N

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Oct 11, 2020

Excellent online teaching with clear and concise explanations!

创建者 Xue

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Dec 8, 2018

Very well-organized and clear. Learned a lot about regression.

创建者 Saqib N S

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Aug 9, 2016

Great course with in-depth explanation of math under the hood.

创建者 Abishek R

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Feb 28, 2016

Extremely well planned and prepared. Thank you for the course.

创建者 Eduardo R

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Jan 10, 2016

I really liked the optional lectures with deeper explanations.

创建者 Mukul k

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Apr 22, 2019

excellent course . lots of interesting things i have learned

创建者 Arsalan J

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May 19, 2017

Its the best course up till now i have studied on regression

创建者 Alexandre N

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Dec 20, 2016

Great course laying out important machine learning concepts.

创建者 Razikh S

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Feb 23, 2016

Awesome Course! Much Love to Emily! She is a wonderful prof!

创建者 Honey P

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Jul 9, 2020

Very well crafted course. Highly recommended for beginners.

创建者 Sarah J

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Aug 1, 2019

Great course with an extraordinary teaching team, thank you

创建者 DIVYANSH K

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Aug 6, 2020

It was quite interesting to learn Regression and ML models

创建者 KHALED N

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Apr 8, 2020

it was really excited i learned lot of concepts and skills

创建者 Parab N S

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Oct 12, 2019

Excellent course on Regression by University of Washington

创建者 Naman M

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Jun 15, 2019

It is the best course on the coursera for machine learning

创建者 Shuang D

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Jun 10, 2018

excellent course on regression. great hands-on experience.

创建者 Alberto V H

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Apr 8, 2017

A wonderful course about regression. Strongly recommended.

创建者 Scott B

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Apr 20, 2016

Very practical and applied, great teaching style, and fun.

创建者 James L

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Feb 1, 2016

Great look under the hood of common regression techniques.

创建者 Sandeep J

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Jan 9, 2016

Great Course. So many regression concepts elegantly put!!!

创建者 Md s

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Jun 9, 2019

Awesome Course , really helpful to do things from scratch