Professional & Clean
This project presents a complete Exploratory Data Analysis (EDA) and Data Preprocessing pipeline for the Titanic dataset.
The analysis focuses on understanding passenger survival patterns through statistical exploration and visual insights. Key features such as Age, Sex, Pclass, Fare, and Embarked were analyzed to identify their impact on survival probability.
The preprocessing stage includes:
Handling missing values
Outlier detection
Feature engineering
Encoding categorical variables
Feature scaling
Preparing clean data for machine learning modeling