Who survived the Titanic

In this project, we will work on a comprehensive classification example using the dataset from the Titanic: Machine Learning from Disaster competition hosted on Kaggle. The Titanic competition aims to predict the survival outcome of passengers aboard the Titanic ship based on various features such as age, gender, ticket class, and more. By analyzing this dataset and building a classification model, we can gain insights into the factors that influenced survival rates during the tragic event. To accomplish this, we will utilize a combination of data analysis, feature engineering, and machine learning techniques. Our goal is to develop a robust classification model that can accurately predict whether a passenger survived or not.

Through this project, we will delve into the entire data science pipeline, starting from data exploration and preprocessing to model selection, training, and evaluation. We will also employ various techniques to handle missing values, handle categorical variables, and optimize our model's performance.