yazanobeidi / fraud-detection
Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
☆104Updated 2 years ago
Alternatives and similar repositories for fraud-detection:
Users that are interested in fraud-detection are comparing it to the libraries listed below
- Credit card fraud detection through logistic regression, k-means, and deep learning.☆235Updated 7 years ago
- Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Fraud…☆82Updated 5 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆58Updated 3 years ago
- Lending Club Loan data analysis☆164Updated 5 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 …☆134Updated 7 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 8 years ago
- Different clustering approaches applied on different problemsets☆39Updated 4 years ago
- To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …☆42Updated 6 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆52Updated 8 years ago
- iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transaction…☆547Updated 5 years ago
- Customer segmentation using k-means clustering in python☆58Updated 6 years ago
- Credit Risk Model on Machine learning and prediction☆30Updated 4 years ago
- ☆112Updated 7 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆91Updated last year
- Insurance fraud claims analysis project☆54Updated last year
- This is Kaggle project for the house price prediction☆109Updated 2 years ago
- Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng☆51Updated 7 years ago
- ☆21Updated 6 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆60Updated 6 years ago
- Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)☆11Updated 2 years ago
- An example of clustering applied to finding customer segments.☆20Updated 7 years ago
- Credit Risk analysis by using Python and ML☆158Updated 7 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- Fraud Detection model build with Python (numpy, scipy, pandas, scikit-learn), based on anonymized credit card transactions. The dataset i…☆60Updated 2 years ago
- Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost☆62Updated 2 years ago
- A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journ…☆22Updated 2 years ago
- Learn Machine Learning using PySpark from scratch☆19Updated 6 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆140Updated 4 years ago
- Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'☆42Updated 2 months ago
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 6 years ago