README.md

Titanic-Survival-Predictions

In this we have analysed the Titanic users dataset and based on that we will predict there chances of survival.

ML Algorithms used -

1 - RandomForestClassifier
2 - LogisticRegression
3 - KNN Classifier
4 - DecisionTreeClassifier
5 - Support Vector Classifier

Accuracy Acheived -

1 - Logistic Regression     : 80.97
2 - Support Vector          : 82.09
3 - Decision Tree           : 76.49
4 - K-NN Classifier         : 80.97
5 - Random Forest           : 81.34

Outcome -

Females and childrens from the first class had the highest chances of survival and the persons who had small families had the higher chance of survival.