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Opiniones y comentarios de aprendices correspondientes a Machine Learning: Regression por parte de Universidad de Washington

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5,462 calificaciones
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1,014 reseña

Acerca del 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....

Principales reseñas

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 may. 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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976 - 982 de 982 revisiones para Machine Learning: Regression

por Ehsan M

•

10 de mar. de 2018

The teachers have a great success in developing Tori, but, the teaching is not good. The way machine learning is presented is mixed, and all over the place.

Not worth to put time on

por Om G

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14 de ago. de 2020

I saw the whole course.

I didn't get anything.

Maybe you can just increase some videos and explain neatly.

por Andreas

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4 de ene. de 2017

This specialization is delayed for months now - very annoying! Don't give them money!

por Adrien L

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2 de feb. de 2017

No good without the missing course and capstone projects

por Mohamed H E E

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7 de sep. de 2021

Super outdated course, very hard to follow videos

por Ken C

•

4 de feb. de 2017

Not happy about course 5 & 6 got cancelled.

por Deleted A

•

4 de may. de 2021

Why not have Python

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