UPI Fraud Detection Using Machine Learning | Source Code & Documents #upi #mlprojects

Welcome to our latest project on UPI Fraud Detection using Machine Learning! In this video, we explore a comprehensive approach to identifying fraudulent transactions in the UPI system using various machine learning algorithms.

🚀 Project Overview:
We will walk you through the entire process of building a robust UPI Fraud Detection model, covering:

1. Data Preprocessing: Understanding and preparing the dataset for analysis.
2. Feature Engineering: Selecting and transforming features to improve model performance.
3. Model Selection: Implementing and comparing multiple machine learning algorithms including
4. Random Forest, Logistic Regression, Decision Tree, and Support Vector Machine (SVM).
5. Model Evaluation: Assessing model performance using accuracy scores and confusion matrices.
6. Visualization: Creating informative visualizations to interpret results.

🛑 NOTE: PROJECT SERVICES ARE PAID!

📞 Contact for Project Files / Help (Available 🟢 LIVE 24×7 – LIVE Support):

📲 Contact (WhatsApp, Email, Call): https://www.contactvatshayan.com

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Project Include:
1. Project Code
2. PPT
3. Synopsis
4. Report
5. Base Research Paper
6.Tutorial Video
7. Documents

Please contact / Reach out us soon for project files

PROJECT SERVICES ARE PAID !!

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