CodeRed77 / LendingClubRejectInference
Sampling Bias - Lending Club data
☆9Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for LendingClubRejectInference
- ☆137Updated 5 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- Gradient boosting model for predicting credit default risk on Kaggle competition☆16Updated 3 years ago
- 5th place solution for Kaggle competition Favorita Grocery Sales Forecasting☆251Updated 6 years ago
- ☆49Updated 5 years ago
- Python implementation of the population stability index (PSI)☆134Updated last year
- Demand Forecasting Models for Kaggle competition☆80Updated 6 years ago
- Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast eva…☆318Updated 5 years ago
- A re-creation of SAS varclus procedure in Python☆23Updated 6 years ago
- credit risk score card develop by python(version 3.6)☆41Updated 6 years ago
- ☆51Updated 6 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆243Updated 5 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆152Updated 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
- GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost☆35Updated 4 years ago
- A Python package for variable clustering☆47Updated 3 years ago
- 2nd Place Solution 💰🥈☆161Updated last year
- Kaggle home credit default risk competition☆54Updated 6 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆306Updated 9 months ago
- A toolkit for extracting comprehensible rules from tree-based algorithms☆41Updated 5 years ago
- A project on machine learning techniques dealing with imbalanced classification (Python)☆10Updated 7 years ago
- Sliver Solution (Top 2%) for Kaggle M5 Forecasting competition☆42Updated last month
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆256Updated 5 years ago
- Exploratory Data Analysis, Dealing with Missing Values, Data Munging, Ensembled Regression Model using Stacked Regressor, XGBoost and mic…☆22Updated 7 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆66Updated 5 years ago
- Credit Risk analysis by using Python and ML☆151Updated 7 years ago
- A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…☆106Updated 8 months ago
- testing scikit-learn Isolation Forest☆76Updated 6 years ago
- Tutorial how to use xgboost☆171Updated 8 years ago
- Time-Series forecasting using Stats models, LightGBM & LSTM☆35Updated 4 years ago