kaggle-titanic and Titanic-Survivability-Prediction

kaggle-titanic
51
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 1/25
Maturity 11/25
Community 13/25
Stars: 949
Forks: 677
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 1
Forks: 2
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

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.

data-analytics-education predictive-modeling-tutorial historical-data-analysis machine-learning-beginners data-science-competitions

About Titanic-Survivability-Prediction

miguel-c05/Titanic-Survivability-Prediction

Personal project of 3 FCUP/FEUP students regarding "Titanic - Machine Learning from Disaster", the recommended Kaggle competition for first timers!

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