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 [email protected]