Titanic Survival Prediction
- Category: Data Science
- Project date: November, 2019
- Project URL: github
About
This is one of my first data science projects. The objective is to predict the survival of passengers on the famous Titanic Survival Data set. Its a Binary Classification problem. Here I have used feature engineering, data visualization, predictive analysis and finally submitted it to Kaggle Competetion. Models used are Logistic Regression, SVM, XGboost, Random Forest and Decision Tree. I found SVM, Random Forest and Logistic Regression classifiers performed good over the chosen data and hence I performed ensemble learning, to produce better results.