Bewertung und Feedback des Lernenden für Multiple Linear Regression with scikit-learn von Coursera Project Network

It helps a lot that the programming assignment (= the functions and methods of the various Python libraries for data analysis) is demonstrated in real-time. Thus, one can learn or try to memorize the correct syntax without the need to spend a lot of time to figure out where one forgot a dot, parentheses, square brackets, or an underscore; and focus more on the theoretical model (in this case multiple linear regression) and its related concepts themselves.

I highly recommend any project from this instructor, he clearly defines all goals and the steps to get there, provides numerous examples, and simplifies complex concepts so that those with little to no experience could understand. I take all of his projects, 10/10

Good Course. Extended my knowledge to implement multivariable Linear Regression. Thanks.

This project is great. Clearly explained and well delivered. I will highly recommend to take this project. The instructor is great!

Well paced, very informative, I felt I learnt skills that I can apply to practical problems immediately.

Best Course to linear regression basic to get advanced knowledge in neural network

Better than the Michigan data science curses by 1 billion miles!

Very good learning guide, thanks for the real project.

NICE GUIDED PROJECT BUT TOO SHORT

Good teacher and explanation!

This is awesome!! Thank you!

very fruitful for beginner

Very informative vedios

Good guided project

Amazing explanation

Thank you very much

very useful course

it's very clear

nice course

thank you

EXCELLENT

Excelent

Amazing!

#Awesome

Superb