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Voltar para Machine Learning: Regression

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

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

4 de Mai de 2020

Excellent professor. Fundamentals and math are provided as well. Very good notebooks for the’s just that turicreate library that caused some issues, however the course deserves a 5/5

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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501 — 525 de 954 Avaliações para o Machine Learning: Regression

por Dat Q D

28 de Set de 2017

Good course with balance theory and exercises.

por Muhammad A

1 de Abr de 2017

Absolute loved the course. Highly recommended.

por Karna V

21 de Set de 2016

very useful to understand the difficult topics

por Rodolfo S

7 de Jun de 2016

It's a really good course. I congratulate you.

por Sumit K

5 de Mai de 2020

I exprienced many good things in this course.


22 de Nov de 2018

Nice content with hands-on. Much recommended.

por Lalithmohan S

6 de Mar de 2018

Fantastic content, so much to gain from this

por Phuong N

22 de Ago de 2017

Great course! !!! Topics are well-explained.

por Lin Y

27 de Mar de 2017

The best machine learning course on Coursera

por Trinh N Q

28 de Jan de 2018

Give me a good understanding of Regression.

por Pankaj K

20 de Mar de 2017

great explanation of the concepts involved!

por clark.bourne

20 de Abr de 2016

Professional, comprehensive, worth to learn

por Mathias L

15 de Mar de 2016

Very complete course and easy to understand

por Mudambi S S

10 de Fev de 2016

The best course on Machine Learning so far!

por Gustavo S

12 de Set de 2020

Good trade-off between theory and practice

por Qinzhe Z

18 de Fev de 2017

Really can use in solving industry problem


3 de Jan de 2017

Excellent Fundamental course on Regression

por Kazi N H

13 de Jan de 2016

One of awesome series of machine learning!

por Bowen F

19 de Jul de 2020

feel really well when finish this course!

por Xuening H

30 de Nov de 2019

So organized, so in depth, so much fun!!!

por WEI Y

5 de Jul de 2018

Really great course! Highly recommend it!

por Sara E E

22 de Mar de 2018

I could give this course 6 out of 5 stars

por Dongliang Z

4 de Fev de 2018

very good course! I enjoyed it very much.

por Mai T

26 de Jun de 2016

Great content and very well instructions

por Sean L

25 de Jun de 2016

a wonderful course about machine learning