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Aim of the Project

Aim of the Project

The primary objective of this project is to build a machine learning model that can accurately distinguish fraudulent transactions from legitimate ones.

The project aims to:

  • Load and inspect the credit card transaction dataset.
  • Explore transaction patterns using exploratory data analysis.
  • Understand the imbalance between genuine and fraudulent transactions.
  • Preprocess the dataset for machine learning.
  • Train a Logistic Regression classification model.
  • Evaluate the model using classification metrics.
  • Interpret the results through meaningful visualizations.

By following these steps, learners will gain practical experience in solving a real-world classification problem using machine learning.