The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. 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 sensational tragedy shocked the international community and led to better safety regulations for ships.
One of the reasons that the shipwreck led 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.
We target on making a simple web-app, that based, on your age, gender and income, predicts the probability of you surviving the Titanic wreck.
using the available data from kaggle, we have trained 5 models:
- Logistic Regression
- Support Vector Machine
- Decision Tree
- K-NN Classifier
- Random Forest Classifier
Using these trained models, we can predict whether a person would've survived the wreck based on:
- Age
- Social Status
- Gender
- Port of Embarkment