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CodeByPinar / Credit-Card-Fraud-Detection-Project

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This project focuses on the detection of credit card fraud using various data science and machine learning techniques. The dataset includes a record of credit card transactions over a specific period, with the goal of accurately identifying fraudulent activities. 🚀✨

python data-science machine-learning data-visualization data-analysis data-preprocessing fraud-detection anamoly-detection classification-algorithms credit-card-transactions
  • Updated Mar 30, 2024
  • Jupyter Notebook

SuryaVamsi-P / Credit-Card-Fraud-Detection-ML

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Built a machine learning pipeline to detect fraudulent credit card transactions using real-world data (1M+ rows). Explored fraud patterns, validated key hypotheses, and optimized models like KNN, Random Forest, and SVM with 98%+ recall. Strong focus on data insights & impact.

python data-science machine-learning random-forest svm scikit-learn eda classification data-analysis feature-engineering financial-data knn binary-classification imbalanced-data model-evaluation fraud-detection credit-card-transactions recall-optimization fraudulent-activity real-world-dataset
  • Updated May 24, 2025
  • Python

Asmashaik7 / Power-BI

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This repository contains my beginner-level Power BI dashboards, created during my learning journey in data visualization. Each project focuses on building interactive reports, exploring key Power BI features, and applying DAX formulas for insights and calculations. It reflects my progress in learning data modeling, relationships, and performance op

analytics data-visualization business-intelligence reports dashboards dax powerbi data-modeling sales-analysis customer-analysis credit-card-transactions business-intelligence-analytics interactive-reports
  • Updated Feb 2, 2026
  • TSQL

Avinash9790 / Credit-Card-Transaction-Analysis

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End-to-end analysis of Indian credit card spending using Python, SQL, Power BI. Identifies high-value segments (25-34 age: 3x spending), top categories (Entertainment 28%), city trends (Mumbai ₹15K/month). Delivers customer segmentation dashboard + SQL queries for targeted rewards optimization.

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  • Updated Apr 6, 2026
  • Jupyter Notebook

Vishakha-33 / CreditCardFraudDetection

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This repository features code for a fraud detection model achieving 100% accuracy in identifying fraudulent credit card transactions. Utilizing transaction data from Jan 2019 to Dec 2020, the model employs RandomForestClassifier, assessing features like credit card numbers, transaction amounts, and merchant information.

machine-learning python-programming confusion-matrix data-preprocessing model-evaluation classification-report fraud-detection random-forest-classifier credit-card-transactions
  • Updated Apr 21, 2024
  • Jupyter Notebook

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