Titanic-ML-Challenge

Using Machine Learning to predict what sorts of people are likely to survive

About

I used different types of classifiers like Decision Tree, Random Forest and Gradient Boosting.
The Gradient Boosting classifier gave an accuracy of 82.01%.
I also preprocessed the datset and removed unwanted features like name, ticket, home.dest, body, cabin, boat.
I used cross-validation to improve the performance of my model.