Titanic-Survival-Prediction

This is a simple classification project. I have used following python libraries: numpy, matplotlib, seaborn, and sklearn.

I have used the following Models:

1. KNeighborsClassifier
2. LogisticRegression
3. MultinomialNB
4. XGBClassifier
5. DescisonTreeClassifier
6. RandomForestClassifier

Furthermore, I have performed Hyperparameter tuning for these models as well to optimize the performance of these models on validation and testing set.

Dataset

I have not included the dataset in the repository. However, you could find the official dataset on Kaggle

In this classification project, we will use different features like passenger class, sex, age, fare, etc to predict whether a person will survive in titanic or not.