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Full workflow of building a classification model that scored 0.80382 (top 8%)

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Montanaz0r/Kaggle-Titanic-Disaster-ML-Project

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Bogusz Janiak ML Project - The Titanic Disaster

This notebook will show a full workflow of building a classification model for the Titanic Disaster competition at Kaggle. This is a beginner level contest that focuses on Explanatory Data Analysis (EDA) and Feature Engineering. The best score I have achieved using the techniques presented in this notebook is 0.80382%, and this currently places me in the top 8% of all competitors.

The project has six main sections:

  1. Introduction
  2. Explanatory Data Analysis
  3. Feature Engineering
  4. Pre-Modeling Tasks
  5. Modeling
  6. Final prediction & submission

If you have any questions or remarks, please contact me at montana102@gmail.com