yazanobeidi / fraud-detection
Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
☆99Updated last year
Related projects ⓘ
Alternatives and complementary repositories for fraud-detection
- Credit card fraud detection through logistic regression, k-means, and deep learning.☆217Updated 6 years ago
- Lending Club Loan data analysis☆158Updated 5 years ago
- ☆113Updated 6 years ago
- Fraud Detection model build with Python (numpy, scipy, pandas, scikit-learn), based on anonymized credit card transactions. The dataset i…☆56Updated 2 years ago
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 6 years ago
- iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transaction…☆522Updated 5 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆55Updated 2 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆130Updated 6 years ago
- Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Fraud…☆70Updated 5 years ago
- This repository includes the code used in my corresponding Medium post.☆90Updated 5 years ago
- An example of clustering applied to finding customer segments.☆19Updated 7 years ago
- Insurance fraud claims analysis project☆49Updated 9 months ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆135Updated 3 years ago
- Credit Risk analysis by using Python and ML☆151Updated 6 years ago
- Customer segmentation using k-means clustering in python☆56Updated 6 years ago
- ☆21Updated 6 years ago
- Selection of some interesting Kaggle Kernels☆50Updated 4 years ago
- Classification of fraudulent credit card transactions.☆22Updated 5 years ago
- Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng☆51Updated 7 years ago
- Machine learning models to automatically predict credit card frauds☆10Updated 5 years ago
- Learn Machine Learning using PySpark from scratch☆19Updated 5 years ago
- This repo contains my jupyter notebook for a data challenge for building a machine learning model to identify fraud in e-commerce transac…☆12Updated 7 years ago
- Credit Risk Model on Machine learning and prediction☆27Updated 4 years ago
- Loan Application Data Analysis☆90Updated last year
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆96Updated 6 years ago
- ☆78Updated 4 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆52Updated 7 years ago
- Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'☆41Updated last year
- Machine Learning and Data Analysis Case Studies using Spark.☆72Updated 3 years ago
- This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview☆41Updated 6 years ago