Titanic Passenger Data Analysis Using Python

This project focused on analyzing the Titanic dataset using Python to predict passenger survival. The main goal was to apply data analysis and machine learning techniques to extract insights and build a predictive model. During the project, I: Cleaned and preprocessed the dataset to handle missing values and inconsistent data Performed exploratory data analysis (EDA) to understand patterns and relationships between features Built a machine learning model to predict passenger survival Evaluated the model’s performance using accuracy and other metrics Tools used: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn This project demonstrates my skills in data preprocessing, analysis, visualization, and applying machine learning to solve real-world problems.