Produce data visualizations with Seaborn
Apply graphical techniques used in exploratory data analysis (EDA)
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.
Some experience in programming in Python.
Data Loading and Exploration
Visualizing the Target Distribution
Comparing Film Revenue to Budget
Do Official Homepages Impact Revenue?
Distribution of Languages across Films
Common Words in Film Titles and Descriptions
How do Film Descriptions Impact Revenue?
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.
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 !
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.
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.
指导 项目 可在台式设备和移动设备上学习吗？
指导 项目 的讲师是谁？
指导 项目 讲师是特定领域的专家，他们在项目的技能、工具或领域方面经验丰富，并且热衷于分享自己的知识以影响全球数百万的学生。
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您可以从指导 项目 中下载并保留您创建的任何文件。为此，您可以在访问云桌面时使用'文件浏览器'功能。
您可在页面顶部点按此指导 项目 的经验级别，查看任何知识先决条件。对于指导 项目 的每个级别，您的讲师会逐步为您提供指导。
我能直接通过 Web 浏览器来完成此指导 项目，而不必安装特殊软件吗？
是，您可以在浏览器的云桌面中获得完成指导 项目 所需的一切。
指导 项目 的学习体验如何？