Credit Card Fraud Detection Model
A Project for detecting whether a transaction is Legit or Fraud.
Objective
The objective for this project is to model using Linear Regression to detect whether the Credit Card Trasaction is Legit or Fraud on the basis of Features & Amount of transaction.
Process Summary :-
- Analyzed a total of 2,84,807 transactions information.
- Segmented analysis in 6 phases.
- Cleaned & Prepared Datasets for model training which included under-sampling of dataset.
- Analyzed and splitted the dataset into Train & Test data using sklearn library.
- Checked for the accuracy score of Predicted data given by the model.
- For project in detail, visit this project link.