datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mldataml_data_test_detection_bank_transaction_frauds_unbalanced
ML Data Test Detection Bank Transaction Frauds Unbalanced
The project provides a quick and accessible dataset designed for learning and experimenting with machine learning algorithms, specifically in the context of detecting fraudulent bank transactions. It is intended for practicing and applying concepts such as Random Forest, Support Vector Machines (SVM), and Synthetic Minority Over-sampling Technique (SMOTE) to address unbalanced classification problems.
Note: This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/roberto-armas/ml_data_test_detection_bank_transaction_frauds_unbalanced.mlds7_restaurantsml-data-130kML_dataset