I analyzed a data set containing the sex, class, age, fare price, etc. of passengers on the titanic to predict whether or not they survived. I used a decision tree in Jupyter Notebook to classify the data and deciphered the best minimum split. Then I drew conclusions about the survivability of different passengers based on the factors detailed in the tree. Through this project I was able to further my understanding on decision tree analysis and apply it to a topic of my own interest.
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