KSpiliop / Fraud_DetectionLinks
Tuning XGBoost hyper-parameters with Simulated Annealing
☆52Updated 8 years ago
Alternatives and similar repositories for Fraud_Detection
Users that are interested in Fraud_Detection are comparing it to the libraries listed below
Sorting:
- 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
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Demand Forecasting Models for Kaggle competition☆83Updated 7 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- ☆136Updated 6 years ago
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆34Updated 6 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 6 years ago
- A re-creation of SAS varclus procedure in Python☆23Updated 6 years ago
- ☆50Updated 6 years ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆41Updated 4 years ago
- ☆113Updated 7 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆47Updated 7 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆104Updated 2 years ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 5 years ago
- This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete an…☆142Updated 6 years ago
- Code repository for Ensemble Machine Learning, published by Packt☆51Updated 4 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…☆30Updated 7 years ago
- This is the code notebook for the blog post on using Python and Auto ARIMA☆104Updated 5 years ago
- A project on machine learning techniques dealing with imbalanced classification (Python)☆11Updated 7 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 5 years ago
- A fast xgboost feature selection algorithm☆222Updated 4 years ago
- Credit Risk analysis by using Python and ML☆163Updated 7 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 5 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆153Updated 7 years ago
- Machine learning and process automation☆137Updated 2 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆63Updated last year
- Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in To…☆73Updated 2 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- credit risk score card develop by python(version 3.6)☆40Updated 7 years ago