Credit Card Transactions Fraud Detection - ML Models

Requirements:

In this project we try to detect credit card transactions fraud detection using Logistic Regression, Random Forest, Decision Tree, K-Nearest Neighbours (KNN) and as the dataset: [Credit Card Transactions Fraud Detection Dataset](https://www.kaggle.com/mlg-ulb/creditcardfraud](https://www.kaggle.com/datasets/kartik2112/fraud-detection?datasetId=817870&searchQuery=svm) provided by Kaggle. For this analysis I focused more on data preprocessing because it helps to gain a better accuracy rather than just sending raw data and telling to build a model.

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
Decision Tree		Decision Tree
K-Nearest Neighbors (KNN)		K-Nearest Neighbors (KNN)
Logistic Regression		Logistic Regression
random_forest		random_forest
.gitignore		.gitignore
README.md		README.md