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| File Name: | Building Credit Card Fraud Detection with Machine Learning |
| Content Source: | https://www.udemy.com/course/building-credit-card-fraud-detection-with-machine-learning/ |
| Genre / Category: | Programming |
| File Size : | 1.1 GB |
| Publisher: | udemy |
| Updated and Published: | January 22, 2024 |
Below are things that you can expect to learn from this course:
- Learn the basic fundamentals of fraud detection model
- Learn how credit card fraud detection models work. This section will cover data collection, feature selection, model training, real time processing, and post alert action
- Learn about most common credit card fraud cases like stolen card, card skimming, phishing attack, identity theft, data breach, and insider fraud
- Learn how to find and download datasets from Kaggle
- Learn how to clean dataset by removing missing rows and duplicate values
- Learn how to evaluate the security of chip and pin transaction methods
- Learn how to analyze and identify repeat retailer fraud patterns
- Learn how to find correlation between transaction amount and fraud
- Learn how to analyze fraud cases in online transaction
- Learn how to conduct feature selection using Random Forest
- Learn how to build credit card fraud detection model using Random Forest
- Learn how to build credit card fraud detection model using Logistic Regression
- Learn how to build credit card fraud detection model using Support Vector Machine
- Learn how to evaluate fraud detection model’s accuracy and performance using precision, recall, and F1 score
DOWNLOAD LINK: Building Credit Card Fraud Detection with Machine Learning
Building_Credit_Card_Fraud_Detection_with_Machine_Learning.part1.rar – 995.0 MB
Building_Credit_Card_Fraud_Detection_with_Machine_Learning.part2.rar – 205.7 MB
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