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:
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