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Вернуться к Linear Regression with NumPy and Python

Отзывы учащихся о курсе Linear Regression with NumPy and Python от партнера Coursera Project Network

Оценки: 842
Рецензии: 114

О курсе

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....

Лучшие рецензии

24 мая 2020 г.

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.

9 июля 2020 г.

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

Фильтр по:

26–50 из 113 отзывов о курсе Linear Regression with NumPy and Python

автор: Bhardik B

3 июня 2020 г.

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

Thank you

автор: Sergio S

17 дек. 2021 г.

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

автор: Fahad H J

27 июля 2020 г.

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

автор: Veeramanickam M

24 апр. 2020 г.

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

автор: Ramya G R

8 июня 2020 г.

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

автор: Shriniwas S U

30 апр. 2020 г.

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

автор: Anton V

23 апр. 2020 г.

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

автор: Christian D A A

7 мая 2020 г.

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

автор: Tarek A Z

14 июня 2020 г.

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

автор: Lorenço G A

7 июля 2020 г.

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

автор: Heri M

17 мая 2020 г.

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

автор: Puneeta C

4 июня 2020 г.

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

автор: Manoj J

31 июля 2020 г.

Very concise and clear implementation of univariate linear regression.

автор: Aryan S

25 сент. 2020 г.

this is a satisfactory course with all great content with application

автор: Jose L M S

26 июня 2020 г.

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

автор: Kranthi R

11 мая 2020 г.

Good Explanation..!!

But, need to explain some information in depth.

автор: ROSHAN P

11 июня 2020 г.

Excellent instructor and explanation of linear regression terms

автор: Mohamed J

14 нояб. 2020 г.

really helpful for understanding linear regression aalgorithm

автор: Chintoo K

15 июля 2020 г.

Very informative and good teaching by the instructor

автор: Ashwin K

31 авг. 2020 г.

A great project for implementing Linear Regression.

автор: Mayank S

23 апр. 2020 г.

Great Course.Learnt the use of Linear Regression.

автор: Punam P

17 мая 2020 г.

Nice course to enhance skill..Thanks to team

автор: Ernitia P

20 июня 2020 г.

Great introduction, thorough explanation.

автор: GEETHA C

5 авг. 2020 г.

i can develop skills by this project

автор: Chamod

11 нояб. 2020 г.

This is grate course thank you