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Titanic Dataset Analysis and Cleaning by dirilan857 is a document available to read on EtoBox.

The document outlines the process of loading and preprocessing the Titanic dataset using pandas. It includes steps such as checking for missing values, converting data types, filling missing entries, and applying one-hot encoding to categorical variables. The final DataFrame contains 891 entries with 12 columns, and all missing values have been addressed.

Author
dirilan857
Language
EN