This repository contains the code and analysis for Task 2 of my Data Science internship at Prodigy Infotech. I performed data cleaning and exploratory data analysis (EDA) on the Titanic dataset from Kaggle.
The goal was to clean the data and perform EDA to uncover patterns and trends, focusing on variables like gender, passenger class, age, fare, and survival rate.
Handled missing values and duplicates. Explored key relationships such as the higher survival rate among females and the impact of passenger class on survival.
This analysis revealed valuable insights into the factors affecting survival during the Titanic disaster and demonstrated the use of data science techniques for understanding real-world data.