ahmedbesbes/How-to-score-0.8134-in-Titanic-Kaggle-Challenge
Solution of the Titanic Kaggle competition
This project helps data science practitioners understand how to approach a classification problem like predicting survival. It takes raw passenger data, performs analysis and feature engineering, and outputs a predictive model for survival. This is ideal for aspiring data scientists or those new to Kaggle competitions seeking a structured approach to common machine learning tasks.
132 stars. No commits in the last 6 months.
Use this if you want to learn a standard workflow for building a predictive model from tabular data, specifically in the context of a data science competition.
Not ideal if you are looking for a plug-and-play solution for a business problem, as this is an educational example rather than a production-ready system.
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Feb 07, 2021
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