We try to predict which of the passengers would have survived the titanic tragedy. We test several algorithms for this task. Model is trained on "Titanic Data Set". We take into account such features as age, sex, academic title, ticket class, etc and try to predict will person survived.
- Logistic Regression
- SVC
- KNeighbors Classifier
- Gaussian NB
- Linear SVC
- Perceptron
- SGD Classifier
- Decision Tree Classifier
- Random Forest Regressor
- Scikit-Learn - Data mining and data analysis library
- Numpy - Package for scientific computing
- Pandas - Data analysis library
- Seaborn - Data visualization library based on matplotlib
- Przemysław Kanach - Przemysław Kanach