This was my first Machine Learning project. I used various Classification Models and bagging and boosting algorithms like Logistic Regression, Decision Tree, XGBoost etc. It achieved 78.947 percent accuracy on Kaggle. Comments added along with code for enhanced understanding. Competition source: https://www.kaggle.com/c/titanic
debadri3 / ml-project-1--titanic-survival Goto Github PK
View Code? Open in Web Editor NEWMy take on Kaggle Competition Titanic Survival prediction using classification model.