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Utilizing historical transaction data, we employ supervised and unsupervised learning algorithms to identify patterns and anomalies indicative of fraudulent activity. Our predictive model aims to accurately detect suspicious transactions, reducing financial losses and enhancing the security of credit card transactions.\n\nKeyword: Credit Card Fraud Detection, Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning, Predictive Modeling, Financial Security, Data Science\n\n### Project include: \n\n1. Synopsis\n\n2. PPT\n\n3. Research Paper\n\n4. Code\n\n5. Explanation video\n\n6. Documents\n\n7. Report\n\n### Need Code, Documents \u0026 Explanation video ? \n\n## How to Reach me :\n\n### Mail : vatshayan007@gmail.com \n\n### WhatsApp: +91 9310631437 (Helping 24*7) **[CHAT](https://wa.me/message/CHWN2AHCPMAZK1)** \n\n### Website : https://www.finalproject.in/\n\n### 💻 Youtube Channel: [Link](https://www.youtube.com/@computerscienceproject)\n\nMail/Message me for Projects Help 🙏🏻\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprojects-developer%2Fcredit-card-fraud-detection-using-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprojects-developer%2Fcredit-card-fraud-detection-using-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprojects-developer%2Fcredit-card-fraud-detection-using-machine-learning/lists"}