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Analyze Box Office Data with Plotly and Python に戻る

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

4.5
233件の評価

コースについて

Welcome to this project-based course on Analyzing Box Office Data with Plotly 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) and feature engineering. We will primarily use Plotly for data visualization. Plotly Python which is Plotly's Python graphing library makes interactive, publication-quality graphs ready for both online and offline use. 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....

人気のレビュー

SD

2020年4月29日

I have learnt the skill of Python Panda Programming and application of Plotty using for statistical data

graphical representation

YS

2020年5月3日

The guided project was very nicely explained and gave me a hands on experience with Feature Engineering and Data Visualization.

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Analyze Box Office Data with Plotly and Python: 26 - 34 / 34 レビュー

by Abhinav T

2020年5月16日

by VISHAKHA P

2020年5月28日

by Sanket G

2020年9月12日

by Vidyullatha

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2020年6月23日

by Rizowan A

2020年5月30日

by Ankit G

2020年5月29日

by Задойный А

2020年7月19日