#Machinelearing #python #chatgptmaster
In this video, we will go over how to build a credit card detection machine learning model. Credit card fraud is a serious problem, and detecting fraudulent transactions quickly is essential. We will show you how to use Python and machine learning algorithms to detect fraud in credit card transactions. We will start by exploring the data and preprocessing it for training. Then, we will build and train our model using a supervised learning approach. We will also discuss the different performance metrics and how to evaluate the effectiveness of our model. By the end of this video, you will have a solid understanding of how to build a credit card fraud detection system using machine learning. Don't forget to like and subscribe for more machine learning tutorials!
How to Build a Credit Card Detection Machine Learning Model
Detecting Credit Card Fraud with Machine Learning
Building an Effective Credit Card Fraud Detection Model
Using Machine Learning to Protect Against Credit Card Fraud
Credit Card Fraud Detection: A Machine Learning Approach
================================
Source Code: [ Ссылка ]
Dataset: [ Ссылка ]
================================
My Acounts Links:
1 Facebook: [ Ссылка ]
2 Github: [ Ссылка ]
3 Linkdin: [ Ссылка ]
4 Kaggle: [ Ссылка ]
5 FaceBook Page: [ Ссылка ]
8 Email: 611noorsaeed@gmail.com
============================
Other Channels:
1 chatGPT master:
2 coding world:
3 daily verbs & words presentation:
==============================
Channel Contents:
1 Machine Learning Regression Projects: [ Ссылка ]
2 Python Advance Programs: [ Ссылка ]
3 Python Chatbot Development: [ Ссылка ]
4 Machine Leaning Projects: [ Ссылка ]
