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:
- Introduction
- Explanatory Data Analysis
- Feature Engineering
- Pre-Modeling Tasks
- Modeling
- Final prediction & submission
If you have any questions or remarks, please contact me at montana102@gmail.com