AvinashSingh786 / Fraud-AnalysisLinks
Insurance fraud claims analysis project
☆54Updated last year
Alternatives and similar repositories for Fraud-Analysis
Users that are interested in Fraud-Analysis are comparing it to the libraries listed below
Sorting:
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆77Updated 5 years ago
- In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Dat…☆40Updated 6 years ago
- Use AutoAI to detect fraud☆33Updated 2 years ago
- Lending Club Loan data analysis☆167Updated 6 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆48Updated 7 years ago
- Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using…☆65Updated 5 years ago
- A study and comparison of Risk Modeling algorithms (Capstone Project)☆36Updated 7 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆105Updated 2 years ago
- This project contains codes and notebooks related to various use cases for banking.☆91Updated 6 years ago
- Money Laundering Detector is to prove the hypothesis that a solution powered by Machine Learning and Behaviour Analytics will find… -> cu…☆22Updated 7 years ago
- Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).☆53Updated 6 years ago
- Fraud Detection by finding the Person of Interest (POI)☆23Updated 8 years ago
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 5 years ago
- Building Recommendation Systems with Python [Video], by Packt Publishing☆90Updated 2 years ago
- Credit Risk analysis by using Python and ML☆165Updated 7 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆53Updated 8 years ago
- A curated list of repositories for my book Machine Learning Solutions.☆79Updated 7 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆144Updated 4 years ago
- Credit scoring machine learning algorithm which predicts probability of default☆82Updated 7 years ago
- A machine learning algorithm written to predict severity of insurance claim☆19Updated 8 years ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms☆30Updated 8 years ago
- Model to accurately forecast inventory demand based on historical sales data.☆64Updated 9 years ago
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 7 years ago
- This is the code for "AI for Supply Chain" by Siraj Raval on Youtube☆157Updated 6 years ago
- Customer analytics has been one of hottest buzzwords for years. Few years back it was only marketing department’s monopoly carried out wi…☆25Updated 7 years ago
- Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …☆30Updated 4 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