How to make Credit Card Fraud Detection using Machine Learning | Imbalanced Data Handling | Python
Автор: PYAI HUB
Загружено: 2025-12-20
Просмотров: 81
Описание:
In this video, I build a Credit Card Fraud Detection system using Machine Learning with Python.
This project focuses on handling highly imbalanced datasets, preprocessing real-world financial data, and training ML models to identify fraudulent transactions.
🔹 Dataset: Kaggle Credit Card Fraud Dataset
🔹 Techniques Used:
Data Cleaning & NaN handling
Feature Scaling
Train-Test Split with Stratification
Machine Learning Model Training
Model Evaluation (Precision, Recall, Confusion Matrix)
This project is resume-ready and suitable for roles like Data Analyst, ML Engineer, and AI Engineer.
📌 Source Code (GitHub):
https://github.com/athulyaesther777/P...
📌 Dataset:
https://www.kaggle.com/datasets/mlg-u...
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🎵 Music Used:
All Night by Roa
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📜 License: Creative Commons — Attribution 3.0 Unported (CC BY 3.0)
⬇️ Free Download / Stream: https://audiolibrary.com.co/roa-music...
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