Building Credit Card Fraud Detection with Machine Learning

Learn how to build credit card fraud detection model using Random Forest, Logistic Regression and Support Vector Machine
4.38 (48 reviews)
Udemy
platform
English
language
Data Science
category
Christ Raharja
instructor
Building Credit Card Fraud Detection with Machine Learning
3,148
students
3 hours
content
Jan 2024
last update
$54.99
regular price

What you will learn

Learn how to build credit card fraud detection model using Random Forest, Logistic Regression, and Support Vector Machine

Learn how to conduct feature selection using Random Forest

Learn how to analyze and identify repeat retailer fraud patterns

Learn how to analyze fraud cases in online transaction

Learn how to evaluate the security of chip and pin transaction methods

Learn how to find correlation between transaction amount and fraud

Learn how credit card fraud detection models work. This section will cover data collection, feature selection, model training, and real time processing

Learn how to evaluate fraud detection model’s accuracy and performance using precision, recall, and F1 score

Learn about most common credit card fraud cases like stolen card, card skimming, phishing attack, identity theft, data breach, and insider fraud

Learn the basic fundamentals of fraud detection model

Learn how to find and download datasets from Kaggle

Learn how to clean dataset by removing missing rows and duplicate values

Screenshots

Building Credit Card Fraud Detection with Machine Learning - Screenshot_01Building Credit Card Fraud Detection with Machine Learning - Screenshot_02Building Credit Card Fraud Detection with Machine Learning - Screenshot_03Building Credit Card Fraud Detection with Machine Learning - Screenshot_04
5778452
udemy ID
1/22/2024
course created date
1/29/2024
course indexed date
Bot
course submited by
Building Credit Card Fraud Detection with Machine Learning - Coupon | Comidoc