For the final project of Northwestern Data Science Boot Camp, our group used our new machine learning skills and
applied them to a new dataset.
The dataset we used was from the infamous sinking of the Titanic in 1912. We found clean testing/training
data that displayed which members survived and which ones didn't.
Using the data and machine learning, we looked at different models for predicting who would hypothetically
survive the sinking of the Titanic.
From there, we would conclude which model was more accurate at predicting.
Go to the Models menu and click each model to learn more and see which one was more accurate than the others.