Fake Currency Data
Can be used for ML tasks like classification, anomaly detection, and feature eng
@kaggle.mdladla_fake_currency_data
Can be used for ML tasks like classification, anomaly detection, and feature eng
@kaggle.mdladla_fake_currency_data
This dataset contains synthetic data representing fake currency samples. It includes information such as the country of origin, denomination, whether the currency is genuine or counterfeit, serial numbers, security features, weight, length, width, and thickness of the currency. The dataset can be used for various machine-learning tasks such as classification, anomaly detection, and feature engineering. It is suitable for exploring patterns and trends in counterfeit currency and analyzing the effectiveness of security features.
CREATE TABLE fake_currency_data (
"country" VARCHAR,
"denomination" VARCHAR,
"counterfeit" BIGINT,
"serialnumber" BIGINT,
"securityfeatures" VARCHAR,
"weight" DOUBLE,
"length" DOUBLE,
"width" DOUBLE,
"thickness" DOUBLE
);Anyone who has the link will be able to view this.