1st Nov 2022
Credit Card Fraud Detection using Logistic Regression
Logistic Regression is a regression approach used for predicting only two possible values.
For this project, we will be building a machine learning model to classify whether a credit card transaction is Legit or Fraudulent based on numerical input variables which are the result of a PCA transformation included in the dataset. Our goal is to work through this notebook by collecting data, preprocessing it, splitting it into testing and training datasets, train the model and evaluate the accuracy of our model.
We used the following dataset available on Kaggle to work on this project:
The datasets consists of several features which are transformed using PCA due to confidentiality issues and one target variable.
Thanks to Kaggle for teaching me ML 
