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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
5,327 classificações
•
994 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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701 — 725 de 961 Avaliações para o Machine Learning: Regression

por Tianyuan L

•
27 de Fev de 2016

Great Course

por Haitham S

•
16 de Jan de 2016

Spectacular!

por Siddharth V B

•
29 de Nov de 2020

good CoUrSe

por Velpula M K

•
6 de Nov de 2019

Good Course

por Pavel P

•
6 de Jan de 2018

Just great!

por Do A T

•
26 de Out de 2017

very useful

por nazar p

•
6 de Mai de 2017

good stuff.

por Gaston F

•
1 de Out de 2016

Fine course

por Carlos M

•
18 de Mar de 2016

good course

por Thuong D H

•
4 de Mar de 2016

Good course

por gangan

•
1 de Jan de 2016

Impressive!

por Hany E

•
14 de Out de 2019

Thank you!

por Genyu Z

•
19 de Ago de 2019

It's good!

por Fabricio F

•
13 de Jun de 2017

Excellent!

por Erkan E

•
20 de Mai de 2017

Fantastic!

por Tural I

•
29 de Abr de 2017

Just Great

por Saheer K

•
11 de Set de 2016

Execellent

por zhenyue z

•
1 de Jun de 2016

good class

por Pedro V H S

•
9 de Mar de 2016

I loved it

por Chen Y

•
18 de Fev de 2016

Insightful

por Amit T

•
30 de Jan de 2016

Excellent!

por Lion F P d S

•
4 de Jan de 2016

Excelente!

por Kalpana j

•
7 de Mai de 2021

excellent

por Yuvraj R

•
5 de Fev de 2021

beautiful

por Neha K

•
17 de Set de 2020

EXCELLENT

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