Dataset The dataset of of nearly 28,500 credit card transactions was used to identify transactions with a high probability of being credit card fraud. The dataset can be downloaded from kaggle
This project uses various ML algorithms to detect credit card fraud detection.
Method of Coding: Data Analysis, Data Cleaning, KNN, Random Forest, Logistic Regression, K-Neighbors, ROC and AUC curve.
Also the sensitivity, precision and accuracy rate of each of the methods is also calculated.
Happy Coding!