Titanic Survival Prediction

Overview

Predicting passenger survival on the Titanic using Machine Learning.

Dataset

-source: kaggle Titanic Dataset -891 rows, 12 features

Approach

• Data Cleaning: Handled missing values, label encoding
• Model: Random Forest Classifier
• Accuracy: 82.68 %

Tools Used

Python, Pandas, Scikit-learn, matplotlib, Jupyter Notebook

Key Finding

Gender and passenger class were the strongest predictors of survival.