Efrei IBM hackathon

About the challengeDataset CharacteristicsYear: Transactions from 2016 to 2018Total size: 210,000 transactionsAdditional challenge: Clients who committed fraud in the training set are different from those in the evaluation setFiles for Participantstransactions_train.csv: Transactions for training.train_fraud_labels.json: Labels for the training transactions.cards_data.csv: Payment card information.users_data.csv: User information.mcc_codes.json: MCC codes and descriptions.evaluation_features.csv: Transactions for evaluation (without labels). (Note: This file is only to be used for model evaluation; it should not be used for training.)Submission FormatParticipants must submit a CSV file containing the following columns:transaction_id: Transaction identifier (as in evaluation_features.csv)fraud_prediction: Binary prediction (1 for fraud, 0 for non-fraud)Important NoteThis dataset presents a realistic challenge in bank fraud detection where models must generalize to new clients. Participants will need to develop algorithms capable of detecting fraud for clients never seen during training.Link to Datas :https://ibm.box.com/s/cwaievqhezs5bs7zn3kzn1zbj54u5xkj## Getting Started### Prerequisites-Bob IDEinstalled on your laptop (Download here)-Basic familiarity with your operating system's terminal/command line-Git installed for cloning the repository