Description: Study data about the tragic sinking of the Titanic and develop a machine learning model which predicts the survival of passengers.

The team performed the following activities:

Data Cleaning

Exploratory Data Analysis​

Selection of Random Forest Model​

Optimization of Model​

Running Model on Unseen Test Data to Form Survival Prediction​

Used Google Colab for Running Python Code and as a Collaborative Platform


Results: Able to predict survival accuracy around 80% with random forest model. Preprocessing data (e.g. extracting Cabin letter) improved accuracy. The biggest factors were class, family size, gender, and title​