The Titanic challenge on Kaggle is a competition in which the task is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat. I have been playing with the Titanic dataset for a while, and I have recently achieved an accuracy score of 0.8134 on the public leaderboard. As I'm writing this post, I am ranked among the top 9% of all Kagglers: More than 4540 teams are currently competing.
In a form of a jupyter notebook, my solution goes through the basic steps of a data science pipeline:
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Exploratory data analysis with visualizations
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Data cleaning
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Feature engineering
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Modeling
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Modelfine-tuning
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Final accuracy ~ 81.34%