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Titanic Passenger Survival Analysis by poddarsamarth0108 is a document available to read on EtoBox.

The document details an analysis of the Titanic dataset with 100 passengers, focusing on exploratory data analysis (EDA), K-Nearest Neighbors (KNN) for survival prediction, and K-Means clustering to group passengers. Key findings include that gender, passenger class, and traveling alone significantly influenced survival rates, with females and first-class passengers having the highest survival chances. The project utilized Microsoft Excel for data analysis, highlighting the application of machine learning t

Author

poddarsamarth0108

Language

EN