More Insight on Data Analysis of Titanic Data Set

Rohan Bhargav, Pawan Whig

Abstract


The Titanic sank on April 15, 1912, more than a century ago. Around 1500 crew members and passengers died as a result of the tragedy. The goal of the study is to determine passengers’ characteristics such as whether or not they have survived, their cabin class, age, and gender. The features of the passengers will be recognised, and families of survivors of the catastrophe will be located in this project. We'll look at the survival and non-survival data sets separately based on gender. In this work, we employ a variety of machine learning methods to predict passenger survival, including Histogram, Data Distribution, Subplots, and Facet Grid. We try to compare these methods in specifically.


Keywords


prediction; jupyter notebook; Histogram; Distribution of data; Subplots; Facet Grid; GitHub

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