Titanic - Machine Learning from Disaster

The goal is to create a model capable of predicting, as accurately as possible, the passengers likely to survive based on the feature provided in the training set.

Applied KDD process (Data mining) on the dataset which was provided on the Kaggle Competition website.

Processes included

• Preprocessing
• Data selection and transformation
• Data visualization
• Model creation and evaluation

Project report

You can find the link to the report of the project here.

Notebook on Kaggle.

Team members

• Mohammad Shughri
• Olamilekan Rasaq Aremu