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Jul 31, 2024 · Raw. titanic_dataset.csv. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode characters. Show hidden characters. PassengerId.
Contents. Titanic Dataset PPT.pptx: A PowerPoint presentation that details the analysis of the Titanic dataset. It includes steps such as data cleaning, exploratory data analysis, visualizations, and model building to predict survival outcomes based on various factors. Titanic IDS.ipynb: A Jupyter notebook containing the code for data cleaning ...
The Titanic Data Science Project seeks to predict passenger survival outcomes from the infamous 1912 disaster using machine learning. Our goal is to identify key survival determinants by analyzing a dataset that includes age, gender, class, and fare, among other variables.
Titanic Dataset Analysis. Overview This project focuses on downloading, analyzing, and visualizing the famous Titanic dataset. This dataset contains information about the passengers aboard the RMS Titanic, which tragically sank on its maiden voyage. It includes data such as age, fare, class, and whether the passenger survived or not. Workflow
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.
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. Delve deep into the realm of classification techniques and machine learning algorithms
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The dataset for this project can be found on Kaggle and is already split into training and testing sets. The dataset includes various features such as passenger class, age, gender, fare, and number of family members on board. For more information on the dataset, refer to the Kaggle Titanic Dataset Description.
This project focuses on analyzing the Titanic dataset to identify factors influencing passenger survival. Utilizing various data science techniques, we aim to build a predictive model to estimate survival outcomes based on passenger characteri
