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Movie Data Classification and Visualization

This project is to showcase all that I have learned from Datavis course. With several movie datasets acquired from Kaggle, I created an interactive scatter plot to visual the relationship between budget and revenue of the movies in different genres. I also created a Multi-Label Classifier using machine learning technique to classify and predict movie genres using the description from dataset.

It is displayed in html with API from my Flask App to query necessary data that lives locally in my MongoDB. The website also showcase my knowledge about JavaScript and CSS.

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A combination of interactive D3 visualization and Multi-Label Classifier machine learning classification, this website displayed the relationships between budget/revenue of the movies and the potential of predicting genres with scrambled words in description.

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