Learner Reviews & Feedback for Analyze Box Office Data with Seaborn and Python by Coursera Project Network
About the Course
Movie Database (TMDB) Box Office Prediction data set. The motion picture industry is raking in more revenue than ever with its expansive
growth the world over. Can we build models to accurately predict movie revenue? Could the results from these models be used to further
increase revenue? We try to answer these questions by way of exploratory data analysis (EDA) in this project and the next. The statistical data
visualization libraries Seaborn and Plotly will be our workhorses to generate interactive, publication-quality graphs. By the en...
Top reviews
AD
Jun 5, 2020
Everything taught was understood. Well explained. Looking for more projects from the instructor! Thank you! It was a great experience and I learnt a lot !
MA
Dec 22, 2020
Mr. Kekre was elaborative, clear, neat, and direct in illustrating the project, this is not overpraising; I would like to attend more projects for him.
1 - 25 of 28 Reviews for Analyze Box Office Data with Seaborn and Python
By Mario C M
•Jun 9, 2020
Snehan is a great instructor. With this course you'll learn how to use some Seaborn plots and how to do some EDA with pandas.
By Ritesh S
•May 25, 2020
very good instructor
By Kalaiarasi N
•Jun 3, 2020
The lecture was great but the cloud desktop was too slow .It took too long to connect and sometimes it didn't so i had to exit.I could finish the project only in the 3rd sitting because of the cloud desktop.
By Aparajita D
•Jun 6, 2020
Everything taught was understood. Well explained. Looking for more projects from the instructor! Thank you! It was a great experience and I learnt a lot !
By M B A
•Dec 23, 2020
Mr. Kekre was elaborative, clear, neat, and direct in illustrating the project, this is not overpraising; I would like to attend more projects for him.
By Raghav G
•Jul 30, 2020
Great course, but please add more study material for the libraries that were used in the course
By Michael D
•Jul 4, 2024
Great project! The word analysis using regression was entirely new to me. Thanks
By Nihar S
•May 11, 2020
Great course for practicing the application of seaborn, pyplot & panda.
By Deleted A
•May 13, 2020
learned about seaborn and visualization, very helpful
By daniel s
•May 30, 2020
Very usefull and simple explication of topics.
By Veeramanickam M
•Apr 23, 2020
Nice Course, Thank you instructor Snehan Kekre
By Joey L
•May 21, 2020
The instructor gave clear explanation.
By HAY a
•Aug 20, 2020
Great course for Data Scientist!
By Archit M
•Jun 22, 2020
It's a good project
By Ma. A S
•Oct 3, 2020
Easy to follow
By Gregory G J
•Jan 9, 2021
Thumbs Up!
By cristhian e c t
•Jan 4, 2021
nice
By tale p
•Jun 17, 2020
good
By Anantharaman K
•Jul 12, 2020
The course is good for complete beginners, but could have been better if we get the idea or design or the why of the project is structured the way it is. Thumbs up for the instructor and the course.
By Ananna B
•May 21, 2020
This course helped me gain hands-on experience using my knowledge of Python and its data visualisation libraries.
By Rohan L
•May 4, 2020
Good and helpful! Nice and clear instructions from the project guide helped me a lot! Thank you!
By Bahar R
•May 28, 2020
great idea, great course, the interface is not easy to work with.
By Manzil-e A K
•Jul 26, 2020
I wasn't able to use the rhyme as code got stuck.
By Muhammad A B
•Aug 12, 2020
Explain subplot please?