georgymh / ml-fraud-detectionLinks
Credit card fraud detection through logistic regression, k-means, and deep learning.
☆240Updated 7 years ago
Alternatives and similar repositories for ml-fraud-detection
Users that are interested in ml-fraud-detection are comparing it to the libraries listed below
Sorting:
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆104Updated 2 years ago
- iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transaction…☆556Updated 5 years ago
- Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Fraud…☆83Updated 6 years ago
- Lending Club Loan data analysis☆165Updated 5 years ago
- Machine learning model for Credit Card fraud detection☆99Updated 4 years ago
- ☆112Updated 7 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 …☆135Updated 7 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆112Updated 7 years ago
- Customer segmentation using k-means clustering in python☆58Updated 6 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆90Updated last year
- This is Kaggle project for the house price prediction☆109Updated 2 years ago
- Fraud Detection model build with Python (numpy, scipy, pandas, scikit-learn), based on anonymized credit card transactions. The dataset i…☆60Updated 3 years ago
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 6 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
- To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …☆41Updated 7 years ago
- This repository includes the code used in my corresponding Medium post.☆91Updated 6 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆52Updated 7 years ago
- ☆179Updated 2 years ago
- Predicting house prices using Linear Regression and GBR☆368Updated last year
- Insurance fraud claims analysis project☆54Updated last year
- This repo contains my loan approval prediction project in Python.☆28Updated 6 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆61Updated 7 years ago
- 📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…☆58Updated 4 years ago
- Machine learning models to automatically predict credit card frauds☆11Updated 6 years ago
- Application of K-means clustering. Prediction of customer churn using Multi-layer Perceptron ANN, Logistic Regression, SVM-RBF and Random…☆15Updated 4 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆61Updated 3 years ago
- Learn Machine Learning using PySpark from scratch☆19Updated 6 years ago
- Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost☆62Updated 2 years ago
- Fraud Detection model based on anonymized credit card transactions☆104Updated 2 years ago
- Various classification algorithms are implemented to predict whether a person is prone to or is suffering from heart disease☆101Updated 5 years ago