swatikokare/CREDIT-CARD-FRAUD-DETECTION ? reverse-engineered prompt

Build me a simple credit card fraud detection project that analyzes transaction data and helps spot suspicious activity.

I want a notebook that loads the data, cleans it, explores the patterns, and trains a model to classify transactions as normal or fraud. Please include the usual steps like handling imbalanced data, splitting the data, training a few basic models, and showing clear evaluation results so I can see how well it catches fraud. It would be great if you also add simple plots and an easy to understand summary of the findings at the end.

Keep it practical and beginner friendly, since I want to open the notebook and follow along. If you need to look up the current best way to do anything, go ahead and check the latest docs online.