Exploratory Data Analysis

The dataset was first examined to determine its structure, including the number of records, features, and data types. Numerical and categorical features were identified for appropriate preprocessing.

Missing values were checked, and necessary imputation techniques were applied to ensure data quality. Class distribution analysis was performed to assess the imbalance between fraudulent and legitimate transactions, and resampling techniques were considered based on the findings.

Feature distributions were analyzed using statistical summaries and visualizations to detect patterns and relationships.