Classification modelling in Python. Social networks dataset contains the data about gender, age, estimated salary and purchased(binary 1 for purchase and 0 for not purchased). Our goal is to classify the customers based on their age, estimated salary and whether they made a purchase or not. Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification.