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In this challenge, I build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).
A simple webapp that displays information about the deathtoll of the Titanic using the Titanic Dataset. The webapp is created using the Python3 library 'streamlit'. The app contains a few filters such as the Pclass, Gender and Survived(0 or 1) that display the data according to those filters selected.