Analyze Box Office Data with Plotly and Python
8.650 já se inscreveram
8.650 já se inscreveram
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.
Data Visualization (DataViz)
Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:
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Em um vídeo de tela dividida, seu instrutor te orientará passo a passo
por KG20 de jun de 2020
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.
por AS26 de jun de 2020
Great Course to get a foundation of plotly . One will also get a good knowledge of dealing with time series data
por AT15 de mai de 2020
The course pretty decent. I felt some topics were a little bit rushed, but overall it was a good experience.
por VP27 de mai de 2020
It was very nice experience of lerning the subject from such a excillent professor