Exploratory Data Analysis on the Titanic Dataset using Python (Seaborn & Matplotlib)

Published: 11 May 2025
on channel: LaughNLearn

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This project performs a step-by-step Exploratory Data Analysis (EDA) on the famous Titanic dataset using Python libraries such as NumPy, Pandas (via Seaborn), Matplotlib, and Seaborn. Key steps include:

Importing essential data science libraries

Loading the Titanic dataset using Seaborn

Displaying data structure and identifying missing values

Visualizing age distribution, survival by gender, and survival by passenger class

Creating a correlation heatmap for numerical features

Generating a summary of statistical insights

This beginner-friendly analysis helps uncover hidden patterns in the data and lays the foundation for machine learning tasks like classification or feature engineering.
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