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Exploring Titanic survival rates using an ensemble of classification models.
I use different classification models to predict the survival of people who were on the Titanic.
The sinking of the Titanic is one of the most famous shipwrecks in history. The Titanic sunk after colliding with an iceberg nearly killing 1502 out of 2224 passengers. I implemented classification models to predict whether a passenger would survive the shipwreck. The full code for the jupyter notebook contains documentation on my entire thought process, can be found at:
As with any data science project we should create functions to ease data cleaning later down the line. First we’ll load our dependencies and create a simple function to load the test files and training set.
I’m going to try something new and upload the entire gist here everyone can see the code and the outputs.
