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last,first,gender,age,class,fare,embarked,survived Braund,Mr. Owen Harris,M,22,3,7.25,Southampton,no Cumings,Mrs. John Bradley (Florence Briggs Thayer),F,38,1,71.2833 ...
This project explores the infamous Titanic dataset to uncover insights into the tragic sinking of the Titanic and predict survival outcomes of its passengers. Using Python and various data science libraries, the analysis encompasses data cleaning, exploratory data analysis (EDA), feature engineering, and predictive modeling.
titanic. titanic is an R package containing data sets providing information on the fate of passengers on the fatal maiden voyage of the ocean liner "Titanic", summarized according to economic status (class), sex, age and survival.
Titanic passenger data set#. See: odsti/titanic. You will find versions of this dataset scattered around the interwebs, but the file titanic_stlearn.csv contains data ...
May 14, 2018 · In this blog-post, I will go through the whole process of creating a machine learning model on the famous Titanic dataset, which is used by many people all over the world.
Welcome to the captivating world of Titanic dataset analysis! This repository serves as your gateway to exploring the rich insights hidden within the Titanic dataset using Python and Kaggle.
Titanic: Machine Learning from Disaster An Exploration into the Data using Python Data Science on the Hill (Michael Hoffman and Charlies Bonfield) Table of Contents: Introduction; Loading/Examining the Data; All the Features! 3a. Extracting Titles from Names 3b. Treating Missing Ports of Departure 3c. Handling Missing Fares 3d. Cabin Number ...
