CybLX/titanic_disaster
This project explores the Titanic dataset from Kaggle, containing passenger information from the RMS Titanic disaster in 1912. It focuses on data preprocessing, exploratory data analysis (EDA), and machine learning models like logistic regression and decision trees to assess survival factors.
No commits in the last 6 months.
Stars
—
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 18, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/CybLX/titanic_disaster"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
agconti/kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic...
ahmedbesbes/How-to-score-0.8134-in-Titanic-Kaggle-Challenge
Solution of the Titanic Kaggle competition
Dalageo/ml-titanic-shipwreck
Exploring the World's Most Renowned Shipwreck 🚢
Ruban2205/titanic-classification
Welcome to the Titanic Classification project repository! This project aims to predict whether a...
ShayanPersonal/Kaggle-Passenger-Screening-Challenge-Solution
10th place solution to the $1,500,000 Kaggle Passenger Screening Challenge.