Titanic-ML

Machine Learning from Disaster

In this project we will explore and analyze the famous Titanic Dataset using Python libraries such as pandas, matplotlib, seaborn, and dython. After that, we will prepare the dataset for model training, consider four different ML models from the popular sklearn and xgboost libraries, and then assess the accuracy of each model using the cross validation data. Ultimately, we will choose the best ML model, apply it the test dataset to predict which passengers of Titanic survived.

A copy of the jupyter notebook 'titanic-ML.ipynb' was prepared for a submission to the Titanic - Machine Learning from Disaster and is available on Kaggle.