In this project, I compiled movie data from a variety of different places. After combining different datasets to come up with one big movie
dataset, I did the following:
1. I created a movie dashboard for users to play around with. You can find movie information such as ratings and revenue in just one click!
2. I created a movie recommendation system. Just type a movie name, and you will get five similar movies you can watch!
The movie dashboard was created using Tableau. Movie information such as reviews, revenue, duration, release year, and genre were used to build the dashboard.
You can choose filters based on any of these components - just move the slider or click the drop-down!
I also collected data based on whether or not the movies passed the Bechdel Test, and filtered them with color to observe patterns alongside other
variables. (Note: The Bechdel Test is a measure of female representation in Hollywood.)
Skills demonstrated: Data Collection, Data Wrangling, Visualization, Deployment
Ever seen a list of movies in the "Recommended for you" section of Netflix? That was created with a recommender system!
In this project, I did exactly that, but only with the information present in the movie database.
All you have to do is this: Go to the movie dashboard. Hover over the data points in the chart and find a movie title you enjoyed. Then,
go to the recommender system, and type the movie name. Sit back and wait for similar movies to appear!
Skills demonstrated: Machine Learning Algorithms, Python, Deployment
