dchannah / fraudhacker
Anomaly detection system for medical insurance claims data
☆15Updated 7 years ago
Alternatives and similar repositories for fraudhacker:
Users that are interested in fraudhacker are comparing it to the libraries listed below
- Insurance fraud claims analysis project☆53Updated last year
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- A competition held by Chinese society of social insurance and Aibaba Group. I individually got the ranking of 15 in the first round and 1…☆31Updated 7 years ago
- Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms☆30Updated 7 years ago
- An example of a sentiment analysis program, used on the IMDB movie review dataset. The program uses the Keras deep learning library. Fi…☆23Updated 7 years ago
- Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project☆16Updated 8 years ago
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dime…☆19Updated 7 years ago
- Machine learning algorithms repository☆9Updated 3 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago
- Codes for replication and implementation of techniques in our credit risk article☆34Updated 6 years ago
- Slides, code and more for my class: Data Analytics and Machine Learning on Big Data☆8Updated 7 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Source Code for 'AI for Healthcare with Keras and Tensorflow 2.0' by Anshik Bansal☆15Updated 3 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- Few tutorials on pandas, matplotlib and seaborn☆26Updated 8 years ago
- ☆10Updated 4 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆15Updated 6 years ago
- A project on machine learning techniques dealing with imbalanced classification (Python)☆11Updated 7 years ago
- Material for UW Extension Data Science 350☆19Updated 7 years ago
- In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…☆44Updated 7 years ago
- ☆27Updated 7 years ago
- Work for Mastering Large Datasets with Python☆18Updated 2 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated 9 months ago
- An analysis of traffic accident data for the UK in 2014, using data from the UK Data Service. (Sourced from Kaggle with original data com…☆12Updated 7 years ago
- ☆13Updated 8 years ago