kaggle-titanic and ml-titanic-shipwreck
About kaggle-titanic
agconti/kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
This project provides a detailed example of how to analyze historical data to predict outcomes using machine learning. It takes raw passenger data from the Titanic disaster and guides you through cleaning, visualizing, and applying predictive models. Aspiring data analysts or data scientists new to Python will find this useful for understanding competitive data analysis workflows.
About ml-titanic-shipwreck
Dalageo/ml-titanic-shipwreck
Exploring the World's Most Renowned Shipwreck 🚢
This project helps you understand what factors affected passenger survival on the Titanic and lets you build a model to predict who would survive based on their characteristics. You input a dataset with passenger details like age, gender, and ticket class, and it outputs a model that estimates survival probabilities. This is useful for anyone interested in historical data analysis, predictive modeling, or exploring social dynamics from past events.
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