In this notebook we have a Fraudulent transactions dataset from Kaggle We will try to classify the data according to class(Fraud or no fraud) using the columns V1-V28 and the column 'Class' ('Fraud/No fraud') Also we will try to use DecisionTree and RandomForest models using Pipeline.
Models used: Logistic Regression,
Decision Tree,
Random Forest,
OverSampling Algorithms used: SMOTE