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Welcome to this exciting journey into the world of credit card fraud detection using the power of machine learning and Python! In this article, I’m going to walk you through the entire process of building a robust fraud detection model using the Keras library. Strap in as we explore each step, from data preprocessing to model evaluation, all while sprinkling in handy code examples and tips to make your learning experience smooth and enjoyable.
The implementation is available below:
Contents
- Dataset Exploration and Understanding
- Preprocessing: Cleaning and Preparing the Data
- Building a Binary Classification Model
- Training the Model
- Evaluation: Measuring Model Performance
- Conclusion
Dataset Exploration and Understanding
Before we jump into the code, let’s take a moment to understand the dataset we’ll be working with. Our…
