Data Science: Credit Card Fraud Detection Project | Python | Machine Learning | Full Project

Project: A hands-on Data Science project on credit card fraud detection that uses different sampling and model building techniques to find out who is trying to steal money from people. What you’ll learn: - Data Science: Credit Card Fraud Detection – Model Building - Analyzing and understanding the data. - Techniques for preparing data for use. - Using Logistic Regression, KNN, Tree, Random Forest, XGBoost, and SVM models, you can make a model. - KFolds that are repeated and KFolds that have been grouped together. - SMOTE and ADASYN are three random oversamplers, and they all work. - Metrics for Classification. In this case, we’re going to talk about how to Requirements Knowledge of Python Description: In this course, I will cover, how to develop a Credit Card Fraud Detection model to categorize a transaction as Fraud or Legitimate with very high accuracy using different Machine Learning Models. This is a hands-on project where I will teach you the step-by-step process of creating and evaluating a machine learning model. For Source Code: ""Mail me"" Join this channel to get access to perks: https://www.youtube.com/channel/UCiADg0rcBfZV8-uUG5AuxUQ/join Business Email : [email protected] My Channel Link: https://www.youtube.com/c/KJGamTechStudio About : KJ GamTech Studio is a YouTube Channel, where you will find Tech, Tutorials and gaming videos in Hindi, I hope this video was Useful and you liked it, if you did press the thumbs up button. If You Like My Video Than Please Subscribe My Channel.