The project is aiming to use a dataset of Titanic disaster passengers and prepare the data to train a model in order to predict some new data of passengers if they will survive or not.
1- Cleaning data against any null or duplicate values to avoid misleading
2- Exploring the data to get deeper understanding
3- Extract new features that can help to get more accurate result
4- Use most popular ML algorithms to train the data to get the best model with highest accuracy.
5- Use the best model to detect the passenger who will survive or not.