Developed logistic regression and XgBoost for binary classification problem for Titanic Data set
A basic binary classification model and an advanced classification model is used for the prediction of and their accuracy and performance is measured at the end.
- Source of the data - https://www.kaggle.com/competitions/titanic/data
- First basic model with logistic regression
- second model is based on XgBoost
- An interactive web app implemented with streamlit to deploy the model locally
We would like to acknowledge the following individuals for their contributions to this project