This project conducts Exploratory Data Analysis (EDA) on the Titanic dataset to identify patterns and factors affecting passenger survival. It involves cleaning, analyzing, and visualizing the data to prepare it for machine learning modeling. The dataset includes demographic details, ticket information, and survival status of passengers.
From the README
🚢 Titanic Exploratory Data Analysis (EDA) 📌 Overview This project performs an in-depth Exploratory Data Analysis (EDA) on the Titanic dataset to uncover patterns and factors influencing passenger survival. The objective is to clean, analyze, and visualize the data to extract meaningful insights and prepare it for machine learning modeling. 📂 Dataset The dataset contains information about passengers aboard the Titanic, including demographic details, ticket information, and survival status. Key Features: PassengerId Pclass – Ticket class (1st, 2nd, 3rd) Sex Age SibSp – Siblings/Spouses aboard Parch – Parents/Children aboard Fare Embarked – Port of Embarkation Survived –...
Skills
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