jimmycy93 / Credit-Card-Fraud-DetectionLinks
A project on machine learning techniques dealing with imbalanced classification (Python)
☆11Updated 7 years ago
Alternatives and similar repositories for Credit-Card-Fraud-Detection
Users that are interested in Credit-Card-Fraud-Detection are comparing it to the libraries listed below
Sorting:
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 7 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆41Updated 4 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆52Updated 8 years ago
- Demand Forecasting Models for Kaggle competition☆83Updated 6 years ago
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- A re-creation of SAS varclus procedure in Python☆23Updated 6 years ago
- ☆112Updated 7 years ago
- ☆136Updated 6 years ago
- ☆1Updated 7 years ago
- This is the code notebook for the blog post on using Python and Auto ARIMA☆105Updated 5 years ago
- Project work for Udacity's AB Testing Course☆82Updated 8 years ago
- ☆32Updated last year
- The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In…☆18Updated 7 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 6 years ago
- Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…☆63Updated 4 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 years ago
- Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'☆42Updated last month
- ☆26Updated 5 years ago
- ☆49Updated 5 years ago
- Source code from my Master's thesis @Polytechnique Montréal. A solution to the assortment optimization problem, able to deal with large n…☆19Updated 8 years ago
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆34Updated 6 years ago
- Customer churn analysis using Telco dataset☆22Updated 6 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 years ago
- Quick Implementation in python☆52Updated 5 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆61Updated 3 years ago
- Insurance fraud claims analysis project☆54Updated last year
- Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data explorat…☆30Updated 5 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago