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Analyze Box Office Data with Seaborn and Python に戻る

Coursera Project Network による Analyze Box Office Data with Seaborn and Python の受講者のレビューおよびフィードバック

4.3
35件の評価
9件のレビュー

コースについて

Welcome to this project-based course on Analyzing Box Office Data with Seaborn and Python. In this course, you will be working with the The 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 end of this course, you will be able to produce data visualizations in Python with Seaborn, and apply graphical techniques used in exploratory data analysis (EDA). 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, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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Analyze Box Office Data with Seaborn and Python: 1 - 9 / 9 レビュー

by Nihar S

May 11, 2020

Great course for practicing the application of seaborn, pyplot & panda.

by Nikhil N P

May 13, 2020

learned about seaborn and visualization, very helpful

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 Ritesh S

May 26, 2020

very good instructor

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 04, 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 Павлова С

Mar 07, 2020

ничего нового