On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This tragedy shocked the international community and lead to better safety regulations for ships. One of the reasons that the shipwreck lead to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class.

The main objective of the dataset is to classify people earning <=50k or >50k based on several explanatory factors affecting the income of a person like Age, Occupation, Education, etc. The methods we intend to use are: Binary Logistic Regression Decision Tree Random Forest. Data cleaning method used in this article is kNN imputation using VIM library