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Udemy Course

Machine LearningBeginner
Building Credit Card Fraud Detection with Machine Learning
ProviderUdemy
Duration3.5 total hours
PricePaid
#AI#Udemy#Machine Learning
About this Course
Welcome to Building Credit Card Fraud Detection Model with Machine Learning course. This is a comprehensive project based course where you will learn step by step on how to build a credit card fraud detection model using logistic regression, support vector machine, and random forest. This course is a perfect combination between machine learning and fraud detection, making it an ideal opportunity to enhance your data science skills. The course will be mainly concentrating on three major aspects, the first one is data analysis where you will explore the credit card dataset from various angles, the second one is predictive modeling where you will learn how to build fraud detection model using big data, and the third one is to evaluate the fraud detection model’s accuracy and performance. In the introduction session, you will learn the basic fundamentals of fraud detection models, such as getting to know its common challenges and practical applications. Then, in the next session, we are going to learn about the full step by step process on how the credit card fraud detection model works. This section will cover data collection, feature extraction, model training, real time processing, and post alert action. Afterwards, you will also learn about most common credit card fraud cases, for examples like card skimming, phishing attacks, identity theft, stolen card, data breaches, and insider fraud. Once you have learnt all necessary knowledge about the credit card fraud detection model, we will start the project. Firstly you will be guided step by step on how to set up Google Colab IDE. In addition to that, you will also learn how to find and download credit card dataset from Kaggle, Once, everything is ready, we will enter the main section of the course which is the project section The project will be consisted of three main parts, the first part is the data analysis and visualization where you will explore the dataset from multiple angles, in the second part, you will learn step by step on how to build credit card fra
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