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Voltar para Machine Learning: Regression

Comentários e feedback de alunos de Machine Learning: Regression da instituição Universidade de Washington

4.8
estrelas
5,287 classificações
987 avaliações

Sobre o curso

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....

Melhores avaliações

KM
4 de Mai de 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

PD
16 de Mar de 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!

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601 — 625 de 954 Avaliações para o Machine Learning: Regression

por ZhuangBairong

5 de Ago de 2016

Really an awesome course!

por Trong T L

24 de Mai de 2016

Great intro to regression

por Pascal U E

31 de Mar de 2016

Emilie is a great teacher

por xichen

8 de Mar de 2016

Really cool and practical

por Aftab N

22 de Nov de 2018

Amaizing one.. You Rocks

por Jonathan C

3 de Jan de 2018

so much good information

por Oscar

12 de Jun de 2017

Excellent specialization

por ChangIk C

25 de Out de 2016

Learned a lot recommend!

por Lex T

22 de Fev de 2016

Really great stuff guys!

por Veera K R

16 de Mar de 2020

Informative and Useful.

por JAMES R P B

13 de Set de 2019

Good learning materials

por Aakash S

5 de Jun de 2019

Amazing Course. Thanks.

por MAO M

28 de Abr de 2019

Very good for beginners

por Ayush K

7 de Mar de 2019

Great in-depth coverage

por Carlos L C

19 de Jan de 2016

I learned a lot! Thanks

por MOHAMED E A

14 de Dez de 2020

very detailed course!!

por Deba K D

20 de Jan de 2020

Very good for learning

por pavan b

21 de Jan de 2019

Very good assignments.

por Aadesh N

13 de Jun de 2016

Great course materials

por 汪彦龙

19 de Jan de 2016

The course is awesome!

por Dong Z

1 de Jan de 2016

Best course! really!!!

por SUBBA R D

13 de Jun de 2020

course is more useful

por Cosmos D I

15 de Nov de 2019

Good and interesting!

por DHARMVIR K

8 de Ago de 2018

It was great learning

por Claus B

8 de Out de 2017

Great hands-on course