Data Science Task 02: Exploratory Data Analysis (EDA) with Titanic Dataset 🚢 

Welcome back to the Prodigy Infotech Internship Series! In Task 02, we dive deep into data cleaning and Exploratory Data Analysis (EDA) using the iconic Titanic dataset from Kaggle. Join us as we unravel patterns, trends, and relationships hidden within the data to gain insightful knowledge and enhance our data analysis skills.
In this video, we'll walk you through:
🧹 Effective Data Cleaning Techniques
📊 Exploratory Data Analysis (EDA) with Python
🔍 Identifying Key Patterns and Trends
📈 Visualization of Data Insights
Whether you're a beginner or an experienced data analyst, this task is a perfect opportunity to refine your skills and deepen your understanding of EDA techniques.
📂 Dataset Used:
Kaggle Titanic Dataset
🔗 Useful Links:
Kaggle Titanic Competition: www.kaggle.com...
Github : github.com/sha...
Python for Data Analysis: pandas.pydata....
Seaborn Visualization Library: seaborn.pydata...
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