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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
5,256 classificações
982 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

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!

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

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651 — 675 de 950 Avaliações para o Machine Learning: Regression

por Jonathan H

20 de Mai de 2017

Excellent course!

por Andrei U

26 de Jun de 2016

Very good course.

por Carlos L

10 de Jun de 2016

Excellent course!

por SUGUNA M

18 de Nov de 2020

Excellent course

por PAVITHRA B

29 de Set de 2020

EXCELLENT COURSE

por Gaurav K

16 de Set de 2020

very good course

por Sukhvir S

18 de Jul de 2020

Great Experience

por MOHIT K

5 de Mai de 2020

excellent course

por KVD S

21 de Abr de 2020

very nice course

por Frank Z

21 de Mai de 2018

Very good class!

por Vineet J

30 de Jan de 2017

excellent course

por TaeKiJeong

12 de Jan de 2017

The Best lecture

por Pradeep M

9 de Jan de 2017

Simply brilliant

por Chandima M

26 de Dez de 2016

Fantastic course

por Douglas P

29 de Out de 2016

Excelent course!

por André F d A F C

25 de Jul de 2016

I learned a lot!

por 丁俊南

11 de Mai de 2016

Very good course

por roshan s

6 de Jan de 2016

Excellent course

por Marcos C

24 de Fev de 2016

Very-very good!

por Nitin S

7 de Fev de 2016

Awesome Course!

por Muyun L

3 de Jan de 2016

Amazing course!

por Abbas K

13 de Ago de 2020

Thanks for all

por Neemesh J

26 de Out de 2019

Awesome course

por Yufeng X

14 de Jun de 2019

Best lectures!

por Belal M

13 de Out de 2017

perfect course