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Machine Learning: Regression(으)로 돌아가기

워싱턴 대학교의 Machine Learning: Regression 학습자 리뷰 및 피드백

4.8
별점
5,255개의 평가
•
982개의 리뷰

강좌 소개

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....

최상위 리뷰

KM
2020년 5월 4일

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
2016년 3월 16일

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!

필터링 기준:

Machine Learning: Regression의 949개 리뷰 중 326~350

교육 기관: Nguyen T V

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2016년 1월 17일

It's very interesting and challenging course, especially at the end. Thank you for your knowledge!

교육 기관: Matthew M

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2016년 1월 5일

This course is an ideal mixture of theory, practical application, and coding. I really enjoyed it.

교육 기관: Rui W

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2016년 7월 16일

Some practical skill and some theoretical knowledge are bought to me. I am so glad to enjoy them.

교육 기관: Stefano T

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2016년 2월 10일

Very interesting course showing in a clear and easy to follow way the key concepts of Regression.

교육 기관: Omar B

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2017년 2월 1일

Great course !

The best thing is when Emily talks about the intuition of each model or algorithm.

교육 기관: Rafael A

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2016년 2월 22일

Once more, excellent delivery by Emily and Carlos. Looking forward to the classification course.

교육 기관: 17 - 4 N B R

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2020년 6월 25일

excellent course on regression. each and every concept is clear and in depth.Thank you Coursera

교육 기관: Jooho S

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2016년 5월 24일

This course helped me a lot to understand regression. Now I can apply this idea to my own work.

교육 기관: Michaël L

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2016년 3월 30일

Excellent course with lots of hands on !

The teacher is excellent and provide clear explanation.

교육 기관: Bokai C

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2016년 3월 21일

Excellent Lectures!

Suggestions: homework results should be more representative and distinctive.

교육 기관: Chengye Z

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2016년 11월 27일

It's a very helpful course. I really have leart a lot, by both watching video and programming.

교육 기관: mahesh

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2018년 7월 13일

The best course, I feel better and confident at regression concepts by the end of the course.

교육 기관: Jose P

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2016년 6월 25일

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

교육 기관: Aparajita K

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2016년 6월 14일

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

교육 기관: Yinan W

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2016년 5월 3일

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

교육 기관: Misha S

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2016년 2월 28일

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

교육 기관: Jorge S N

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2016년 2월 22일

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

교육 기관: Wang L

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2016년 1월 21일

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

교육 기관: Popovics L

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2015년 12월 29일

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

교육 기관: Leonardo T L

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2020년 9월 13일

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

교육 기관: Deleted A

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2016년 11월 21일

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

교육 기관: Arash A

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2016년 10월 26일

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

교육 기관: Saurabh S

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2016년 10월 21일

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

교육 기관: Med N

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2016년 1월 10일

One of the best courses I have taken!

Very good balance of depth and breadth of the material.

교육 기관: Thomas E

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2016년 5월 12일

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

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