Data Cleaning and Exploratory Data Analysis (EDA) on Titanic Dataset

Description

This project involves performing data cleaning and exploratory data analysis (EDA) on the Titanic dataset. The main goals are to clean the data by handling missing values, correcting data types, and removing duplicates. After cleaning, exploratory data analysis is conducted to explore relationships between variables, identify patterns, and visualize trends within the dataset.

Data Source

Sample Dataset :- https://www.kaggle.com/c/titanic/data

Language Used

Python

Python Libraries Used

Pandas, matplotlib and seaborn

Tools Used

Visual Studio code