The most famous competition over the kaggle .
Kaggle Competition - Titanic: Machine Learning from Disaster (Top 8%)
solutions for kaggle beginner problem
Just a simple logistic regression model for predicting the survival of passengers on Titanic
Predict survival outcomes from the 1912 Titanic disaster🚢
Predict survival on the Titanic and get familiar with ML basics.
Jupyter-notebook to Kaggle's Titanic- survival competition
Predicting passenger survival on the Titanic using an ensemble machine learning approach, achieving a Kaggle score of 0.77990. This project leverages stacking with Random Forest, Gradient Boosting, and SVM, enhanced by feature engineering and hyperparameter tuning, to model survival patterns effectively.
캐글 대회 참가 기록입니다 #Kaggle-Competition
This repository contains code to build various versions of Decision Tree Models (Gini, Entropy) for the Titanic Passenger Survival prediction from Kaggle Competitions. Pruning is also performed to reduce the Overfitting
Add a description, image, and links to the kaggle-titanic-survival topic page so that developers can more easily learn about it.
To associate your repository with the kaggle-titanic-survival topic, visit your repo's landing page and select "manage topics."