Titanic Disaster Classification using GridSearchCV of various Model Machine Learning
Prediction of survivor using personal data of the passenger, here are the data/columns/features of the passenger:
- Ticket class
- Sex
- Age in years
- siblings / spouses aboard the Titanic
- parents / children aboard the Titanic
- Ticket number
- Passenger fare
- Cabin number
- Port of Embarkation
- Survival
The Models to predict the passengers who are survive and the passengers who are not survive
- Logistic Regression
- KNN or k-Nearest Neighbors
- Support Vector Machines
- Naive Bayes classifier
- Perceptron
- Linear SVC
- Stochastic Gradient Descent
- Decision Tree
- Random Forrest
- XGBoost
- AdaBoost
- CatBoost
- LightGBM