This is a machine learning algorithm used for classification which estimates the probability of an event occurring, such as voted or didn't vote, based on a given dataset of independent variables. This Model basically predicts whether the passenger survived or not survived based on the features of titanic dataset.Data Cleaning, Data Exploration was done to select correct and useful features for training the model.The Accuracy of the model was found to be 0.8202247191011236.