Titanic Challenge — Machine Learning for Disaster Recovery

Author(s): Bindhu Balu

Originally published on Towards AI.

GitHub repo : https://github.com/BindhuVinodh/Titanic-Data-Visualization

The Titanic challenge hosted by Kaggle is a competition in which the goal is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat.

This post is the opportunity to share my solution with you.

To make this tutorial more “academic” so that anyone could benefit, I will first start with an exploratory data analysis (EDA) then I’ll follow with feature engineering and finally present the predictive model I set up.

Throughout this jupyter notebook, I will be… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI