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Learner Reviews & Feedback for Linear Regression with NumPy and Python by Coursera Project Network

4.5
stars
984 ratings

About the Course

Welcome to this project-based course on Linear Regression with NumPy and Python. In this project, you will do all the machine learning without using any of the popular machine learning libraries such as scikit-learn and statsmodels. The aim of this project and is to implement all the machinery, including gradient descent and linear regression, of the various learning algorithms yourself, so you have a deeper understanding of the fundamentals. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, NumPy, and Seaborn pre-installed....

Top reviews

AD

May 24, 2020

It is a great project and an excellent experience to learn practical exposure to Linear regression with nmpy and python. I am waiting to get another project.

VB

Jul 9, 2020

Best Project ever we have seen, all plotting and code are explain in very well manner and its definitely increase my knowledge in machine learning

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26 - 50 of 140 Reviews for Linear Regression with NumPy and Python

By Muhammad S

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Oct 7, 2020

Great experience especially for beginners to get hands-on practice to a deep understanding of fundamental concepts.

By Zayed F K

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Oct 12, 2020

Very well explained.... I learned a lot about what is happening behind the scene in Regression!!! Thanks Snehan!

By Sergio B S M

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Jun 1, 2020

Very interesting and useful information. The platform takes a long time to start, but the content is valuable.

By Niveditha G

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Jun 8, 2020

This was cool and i loved it. looking forward for more such opportunities. Thank you for this course

By Bhardik B

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Jun 3, 2020

very useful this course for begineer . i got it lots of knowledge about numpy and python.

Thank you

By Sergio S

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Dec 17, 2021

Muy buen curso. Simple, directo al grano y se entiende muy bien. Todos los ejemplos funcionan.

By Fahad H J

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Jul 27, 2020

The course was awesome and a broad discussion about linear regression with NumPy and Python

By Veeramanickam M

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Apr 24, 2020

thank you, need little patience to understand cost function, prediction, regression..etc.

By Ramya G R

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Jun 8, 2020

I really enjoyed working with this project. Thank you so much for the valuable teaching.

By Shriniwas S U

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Apr 30, 2020

Instructor has good delivery style .Good content .Satisfied with this project Thank u.

By Anton V

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Apr 23, 2020

thank you, very helpful project! I will continue exploring this interesting field! :)

By Christian D A A

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May 7, 2020

It's a bit difficult at the beginning but I think it's a good way for learning fast

By Tarek A Z

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Jun 14, 2020

Very good project for beginner. Instructor completed the project without library.

By Lorenço

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Jul 7, 2020

Excellent course. Clear explanations and very concise yet complete examples.

By Heri M

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May 17, 2020

i like this, make me understanding Liniear Regresion with bumpy & Pyhton

By Puneeta C

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Jun 4, 2020

It was an Amazing Project started by Coursera.Do more to know us better

By Manoj J

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Jul 31, 2020

Very concise and clear implementation of univariate linear regression.

By Suprio D O

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Mar 6, 2023

His guided projects are really good and must-do for machine learning.

By Aryan S

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Sep 25, 2020

this is a satisfactory course with all great content with application

By Jose L

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Jun 26, 2020

a good project. however, you need to have some previous ideas clear

By Kranthi R

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May 11, 2020

Good Explanation..!!

But, need to explain some information in depth.

By ROSHAN P

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Jun 11, 2020

Excellent instructor and explanation of linear regression terms

By Mohamed J

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Nov 14, 2020

really helpful for understanding linear regression aalgorithm

By Chintoo K

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Jul 15, 2020

Very informative and good teaching by the instructor

By Daksh P

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Apr 2, 2022

Super. I learned a lot. thanks for amazing project.