angelotc / LightGBM-binary-classification-example
A model that predicts the default rate of credit card holders using the LightGBM classifier. Trained the LightGBM classifier with Scikit-learn's GridSearchCV.
☆31Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for LightGBM-binary-classification-example
- Address imbalance classes in machine learning projects.☆66Updated 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
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆66Updated 5 years ago
- Stacking classification and regression☆21Updated 5 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆52Updated 7 years ago
- 常用的特征选择方法☆68Updated 2 years ago
- Earthquake Prediction Challenge with LightGBM and XGBoost☆66Updated 5 years ago
- 数据预处理之缺失值处理，特征选择☆21Updated 5 years ago
- Sliver Solution (Top 2%) for Kaggle M5 Forecasting competition☆42Updated last month
- Exploratory Data Analysis, Dealing with Missing Values, Data Munging, Ensembled Regression Model using Stacked Regressor, XGBoost and mic…☆22Updated 7 years ago
- 基于遗传算法的特征选择☆124Updated 4 years ago
- 机器学习的特征工程，包括特征抽取、特征预处理、特征选择、特征降维。☆24Updated 5 years ago
- ☆51Updated 6 years ago
- Code repository for Ensemble Machine Learning, published by Packt☆46Updated 3 years ago
- https://www.kaggle.com/c/m5-forecasting-accuracy/overview/☆12Updated 4 years ago
- A toolkit for extracting comprehensible rules from tree-based algorithms☆41Updated 5 years ago
- kaggle: IEEE-CIS Fraud Detection☆30Updated 5 years ago
- Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.☆22Updated 5 years ago
- 机器学习集成模型之Stacking各类模型及工具源码☆109Updated 4 years ago
- A simple implementation to regression problems using Python 2.7, scikit-learn and XGBoost☆18Updated 2 years ago
- Implementation and test of CFS☆27Updated 5 years ago
- Examples of how to do feature engineering and Xgboost parameter tuning☆46Updated 8 years ago
- 在sklearn下，几种常用的特征选择方法☆40Updated 8 years ago
- Tutorial how to use xgboost☆171Updated 8 years ago
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆34Updated 6 years ago
- 2019年CCF智能信用评分大赛个人源码库。包含XGboost模型调参，特征筛选，训练等方案。同时包含stacking模型融合方案☆27Updated 4 years ago
- Oversampling for imbalanced learning based on k-means and SMOTE☆123Updated 3 years ago
- A simple example of how a genetic algorithm can be used to select the optimal subset of features to use for machine learning problems.☆68Updated 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
- Time-Series forecasting using Stats models, LightGBM & LSTM☆35Updated 4 years ago