"Pseudo Financial Data set "

"The dataset has 6.36 million rows and 11 columns, which is very large and suitable for machinelearning applications. Each record represents a financial transaction with details such astransaction type, sender\/receiver IDs, balances, and fraud indicators. Importantly, there are nomissing values, meaning the dataset is clean in terms of completeness. However, the datasetincludes categorical IDs (nameOrig, nameDest) that are unique identifiers and carry littlepredictive power unless carefully encoded."