Titanic Survival prediction with 20 Algorithm :

Titanic Survival Prediction Using Machine Learning is a tool that uses data to guess if passengers survived the Titanic sinking. It looks at factors like age, gender, and ticket class to make its guesses. The goal is to understand what influenced survival rates on the ship.

This Project aims to:

• Dataset exploration using various types of data visualization.
• Build various ML models that can predict survivors of titanic passenger

The machine learning models used in this project are:

1. LogisticRegression
2. Support Vector Machines
3. KNeighborsClassifier
4. GaussianNB
5. Perceptron
6. LinearSVC
7. SGDClassifier
8. DecisionTreeClassifier
9. RandomForestClassifier
10. MLPClassifier
11. XGBClassifier
12. ExtraTreesClassifier
13. AdaBoostClassifier
14. Lgb Classifier
15. NuSVC
16. HistGradientBoostingClassifier
17. GaussianProcessClassifier
18. RidgeClassifier
19. CalibratedClassifierCV
20. PassiveAggressiveClassifier