Names: Fahad Rai, Owen Schaff, and Joephery Rafael

Inspiration

Ice cream is a desert loved all over the world by millions of people. This category of people we also happen to fall under and we decided to perform some analysis on it when we found an ice cream dataset.

What it does

It creates multiple graphs performing analysis on various aspects of the ice cream dataset, such as most common words, reviews over time and mean squared errors for ML models that were created to create predictions of ice cream ratings.

How we built it

We built it by heavily implementing the scikit-learn, pandas, and seaborn python libraries to create ML models, dataframes and visualization respectively.

Challenges we ran into

Implementing the ML as the data was not in a nice manner to use for implementing a machine learning model on it directly.

Accomplishments that we're proud of

That we were able to get all of our research questions answered using the techniques that we either learned for the project or over the quarter.

What we learned

We learned more intricate details about the python libraries, such as details that were not covered explicitly in class as well as how to communicate and work together on a programming project.

What's next for Cool Super Ice Cream Programming

Maybe looking more into the ML and seeing how we can improve the model or looking into analyzing different aspects of the data frames. Or learning things such as web scraping to get the prices of the products of ice creams among other data that we might be curious in.