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:
   / @kjgamtechstudio  

Business Email : [email protected]

My Channel Link:
   / 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.