Applying machine learning to Titanic data, to predict survival with >80% accuracy
The purpose of this project was to gain introductory exposure to basic machine learning concepts, by building a simple model for predicting whether a passenger survived the Titanic disaster or did not. This project was completed as the Udacity Machine Learning Nanodegree Project 0.
By building a model that takes into account a passenger's gender and age, prediction accuracy increased from about 61% (the baseline scenario of always predicting a passenger did not survive) to approximately 80%.
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Titanic_Survival_Exploration_Fox.ipynb: Jupyter notebook file containing the code and analyses for this project. In order to run, type:
jupyter notebook Titanic_Survival_Exploration_Fox.ipynb -
Titanic_Survival_Exploration_Fox.html: Static HTML version of the Jupyter notebook analysis. In order to view, open the file using any browser (via 'File' - 'Open File' and selecting the Titanic_Survival_Exploration_Fox.html file)