Topic — Electronic Payments Fraud Detection System using Machine Learning and Deep Learning Algorithms. Keypoints:

1. Problem Statement

2. Importing the required libraries

3. Visualize the Data

4. Exploratory Data Analysis

5. Feature Engineering

6. Data Balancing — SMOTE Algorithm

7. Encoding and Splitting Training-Testing Sets

8. Building The Model — Logistic Regression, Decision Tree, XGBoost, Artificial Neural Network

9. Model Training and Evaluation

1⃣️Jupyter Notebook — Fraud Detection with Machine Learning: https://www.dropbox.com/s/o7rx7j5qb5yz12k/Jupyter%20Notebook--Fraud%20Detection%20using%20Machine%20Learning.pdf

2⃣️Source: https://www.linkedin.com/feed/update/urn:li:activity:7071736251837550592

(with link to code & dataset) Link to get code and dataset: https://docs.google.com/forms/d/e/1FAIpQLScfsybq-eMY6Qu3t8QaYcjhm0-iNVSWpzT33zhOFClnl7Dw4g/viewform (also in comment section).

3⃣️Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection (Wiley and SAS Business Series) 1st Edition; ISBN-13: 978–1119133124, ISBN-10: 1119133122.

Kindle. $30.00 Available instantly

Hardcover. $18.97 — $31.99

See this book: https://www.amazon.com/Analytics-Descriptive-Predictive-Network-Techniques/dp/1119133122

— —

主题 — 使用机器学习和深度学习算法的电子支付欺诈检测系统。关键点：

1.问题陈述

2.导入需要的库

3.可视化数据

4.探索性数据分析

5.特征工程

6.数据平衡-SMOTE算法

7.编码和拆分训练测试集

8. 构建模型 — — 逻辑回归、决策树、XGBoost、人工神经网络

9. 模型训练与评估

1⃣️Jupyter笔记本 — — 机器学习欺诈检测：https://www.dropbox.com/s/o7rx7j5qb5yz12k/Jupyter%20Notebook--Fraud%20Detection%20using%20Machine%20Learning.pdf

2⃣️来源：https://www.linkedin.com/feed/update/urn:li:activity:7071736251837550592

(带有代码和数据集的链接)获取代码和数据集的链接：https://docs.google.com/forms/d/e/1FAIpQLScfsybq-eMY6Qu3t8QaYcjhm0-iNVSWpzT33zhOFClnl7Dw4g/viewform (也在评论部分)。

3⃣️使用描述性、预测性和社交网络技术的欺诈分析：欺诈检测数据科学指南(Wiley和SAS业务系列)第一版； ISBN-13：978–1119133124，ISBN-10：1119133122。

Kindle $30.00 立即可用

精装本 18.97 美元 — 31.99 美元

看这本书：https://www.amazon.com/Analytics-Descriptive-Predictive-Network-Techniques/dp/1119133122

Share & Translate: Chinou Gea (秦陇纪) @2023 DSS-SDS, IFS-AHSC. Data Simplicity Community Facebook Group https://m.facebook.com/groups/290760182638656/ #DataSimp #DataScience #computing. #BigData #AI #ArtificialIntelligence #MachineLearning #ML #DeepLearning #AnomalyDetection #FraudDetection