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A public repo of datasets. Contribute to datasciencedojo/datasets development by creating an account on GitHub.
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An in-depth analysis of the Titanic dataset, exploring passenger demographics, survival rates, and other key metrics using Python. This repository contains code for data acquisition, preprocessing,...
Data visualization tool for the Titanic dataset developed in Unity3D for the course Interaction in Mixed Reality Spaces at the University of Konstanz.
Leveraging the Titanic dataset, learn the ins and outs of transitioning from research to production. Master modularization, code standards, and scalability for successful machine learning deployments.
The Titanic passengers data set. GitHub Gist: instantly share code, notes, and snippets.
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main. README. Exploratory-Data-Analysis-Titanic-DataSet. Data Analysis and Prediction of Survivors on the Titanic Dataset. Dependencies: Python3. Numpy. Pandas. Matplotlib. Seaborn . sklearn. This project addresses the following Data Analysis topics: Data Exploration and Preparation. Data Representation and Transformation.
The Titanic sank on April 15, 1912 during her maiden voyage. After colliding with an iceberg, 1502 of its 2224 passengers died. The data set investigated in the following sections contains detailed information about 891 passengers. The data can be found on Kaggle and be downloaded from there. Feature description¶
This repository contains the analysis and visualization of the Titanic dataset. The project aims to explore various factors that affected the survival rates of passengers aboard the Titanic and to build a predictive model to determine the likelihood of survival.
