KNN_CLASSIFICATION: This project deals with classifying the data into a binary label using the K-Nearest Neighbor algorithm. The data description is included in the noteboook Support_Vector_Classification: This is is classification project which uses Support Vector Machines to classify the data. Data description is included in the notebook Titanic_Classification_Kaggle: This project uses several classification techniques, namely, KNN, Decision Tree, Random Forest and Naive Bayes to classify whether the passenger survives or not. The best performing classifier is used to predict the result. Data description is included in the notebook.