Produce interactive data visualizations with Plotly Python
Use Plotly Python and Seaborn during EDA and feature engineering
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.
在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:
Analyze Movie Release Dates
Preprocess Features
Create Features Based on Release Date
Use Plotly to Visualize the Number of Films Per Year
Number of Films and Revenue Per Year
Do Release Days Impact Revenue?
Relationship between Runtime and Revenue
您的工作空間就是瀏覽器中的雲桌面,無需下載
在分屏視頻中,您的授課教師會為您提供分步指導
i raise a query during class time but not get resolved maybe it happen due to some technical issue.please fix this.thanks for the guided projects.
I have learnt the skill of Python Panda Programming and application of Plotty using for statistical data graphical representation
The guided project was very nicely explained and gave me a hands on experience with Feature Engineering and Data Visualization.
Great Course to get a foundation of plotly . One will also get a good knowledge of dealing with time series data
如果我購買指導項目,會得到什麼?
購買指導項目後,您將獲得完成指導項目所需的一切,包括通過Web 瀏覽器訪問云桌面工作空間,工作空間中包含您需要了解的文件和軟件,以及特定領域的專家提供的分步視頻說明。
指導項目可在台式設備和移動設備上學習嗎?
由於您的工作空間包含適合筆記本電腦或台式計算機使用的雲桌面,因此指導項目不在移動設備上提供。
指導項目的講師是誰?
指導項目講師是特定領域的專家,他們在項目的技能、工具或領域方面經驗豐富,並且熱衷於分享自己的知識以影響全球數百萬的學生。
我能在完成指導項目後從中下載作品嗎?
您可以從指導項目中下載並保留您創建的任何文件。為此,您可以在訪問云桌面時使用‘文件瀏覽器’功能。
我能夠退款嗎?退款政策是如何規定的?
指導項目不符合退款條件。 請查看我們完整的退款政策。
有助學金嗎?
指導項目不提供助學金。
我能旁聽指導項目並免費觀看視頻部分嗎?
指導項目不支持旁聽。
我需要具備多少經驗才能做這個指導項目?
您可在頁面頂部點按此指導項目的經驗級別,查看任何知識先決條件。對於指導項目的每個級別,您的講師會逐步為您提供指導。
我能直接通過 Web 瀏覽器來完成此指導項目,而不必安裝特殊軟件嗎?
是,您可以在瀏覽器的雲桌面中獲得完成指導項目所需的一切。
指導項目的學習體驗如何?
您可以直接在瀏覽器中於分屏環境下完成任務,以此從做中學。在屏幕的左側,您將在工作空間中完成任務。在屏幕的右側,您將看到有講師逐步指導您完成項目。
還有其他問題嗎?請訪問 學生幫助中心。