DanielGunna/Titanic-Machine-Learning
Applying Machine Learning Algorithms to the Kaggle "Titanic Survival Prediction Problem".
This project helps data enthusiasts and aspiring data scientists practice applying machine learning to real-world datasets. It takes historical passenger data from the Titanic and uses it to predict individual survival outcomes. The output is a set of predictions indicating who survived the disaster, which can be compared against actual results for learning and evaluation.
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Use this if you are an aspiring data scientist or machine learning enthusiast looking for a well-defined challenge to practice predictive modeling on structured data.
Not ideal if you are looking for a tool to deploy real-time predictions or analyze highly complex, unstructured data in a production environment.
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Language
Python
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Last pushed
Jun 16, 2017
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