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Learner Reviews & Feedback for Machine Learning: Regression by University of Washington

4.8
stars
5,539 ratings

About the Course

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....

Top reviews

KM

May 4, 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

Mar 16, 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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251 - 275 of 993 Reviews for Machine Learning: Regression

By yiliang z

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Feb 27, 2016

Excellent instructor!

The concepts, though hard, are well explained in a clear and organized manner.

The assignments are very practical and helper.

By Bernardo N

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Jan 16, 2016

Best Regression MOCC available online! Also consider the whole Machine Learning specialization, one of the best series you can find on this subject

By Mark W

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Aug 12, 2017

Excellent course. Emily and Carlos are fantastic teachers and have clearly put in a huge amount of effort in makign a great course. Thanks guys!

By Leonardo F M

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Jul 7, 2021

Excelente curso. Muito completo. Aprendi vários conceitos sobre machine learning e sobre regressão. Pena não está sendo atualizado continuamente.

By Saransh A

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Oct 12, 2016

This is probably the best course on Regression for ML out there

And this specialisation is probably the best! for Basic Machine Learning... KUDOS!

By Bhavesh G

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Apr 3, 2020

I learned lot many things during this course like simple regression, calculate RSS, gradient descent, feature selection and k-nearest neighbour.

By Andy N

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Jan 8, 2017

Very well organized course. After taking this course I am able to work on practical problems that can be solved using regression. Thanks Emily!

By vishnu v

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Jan 2, 2016

Great course on regression. Covers almost all aspects on how to build a regression model from scratch, also covers few advanced topics aswell.

By Jane T

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Jun 30, 2017

Difficult material, but the style of the lectures and assignments managed to keep it fun and interesting, all the way to the end. Amazing job

By David

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Mar 6, 2016

It is an excellent course, which can not only equip you with tools but also allow you to know the underlying reason. And it is interesting.

By Leandro L R

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May 12, 2018

This course is very good. It went above my expectations. The instructors are great and I learned a lot of Python here. I really recommend.

By Nicolas P L

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Jul 13, 2020

Great Course, it focused both in the theory and practical approaches in a challenging way such that you could learn better the concepts.

By Yashaswi P

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Sep 13, 2018

The only hindrance I had is with understanding the problem statements in assignments. It would be better to use a more unambiguous text.

By Md F A

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Nov 11, 2019

This is probably most in-depth Regression learning with python code, I have ever had. I liked the detail adventures of quizz questions.

By Hemant V G

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Mar 14, 2016

Course has covered regression in sufficient details and gave practical aspect of it. Thanks to Emily for very good content and teaching

By Sathiraju E

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Oct 31, 2018

It was great to take this course. Thanks to Carlos and Emily for their efforts. It's been a useful course and certainly worth my time.

By Bharath K M

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Jul 19, 2020

Very helpful in building good basics about regression and ML. Programming questions are very useful for practice and nicely prepared.

By Harley J

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Jul 18, 2017

Very solid course for understanding machine learning principles, including developing methodical approaches to solving data problems.

By Joanna L

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Mar 14, 2016

Excellent, step-by-step introduction to regression. The instructor takes her time to make sure every step is explained with details.

By Xavierina d l S R L

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May 14, 2020

I loved this course. This is an excellent course for getting started in Machine Learning and I hope to complete the specialization.

By Aayush A

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Jul 12, 2018

This course is very good.I learnt a lot from it about regression.very recommended for all trying to get expert in machine learning.

By Mariia Z

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Dec 27, 2017

Much more difficult than the first course. It would be challenfing for those who don't have programming skills and math background.

By Michele P

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Aug 23, 2017

Very nice explanation of ridge and lasso regression. Assignments are easier than in Classification. I highly recommend this course!

By Ali A

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Mar 5, 2016

All what I can say is if there is ten stars I would have given them to this course. It is just amazing and very very very helpful.

By Pranas B

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Mar 18, 2016

Amazing course with good balance of visual material, practice, and optional math. Thanks Emily and Carlos, you are great teachers!