机器学习集成模型之Stacking各类模型及工具源码
☆121Sep 29, 2020Updated 5 years ago
Alternatives and similar repositories for Stacking
Users that are interested in Stacking are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 集成学习Stacking方法详解☆83Sep 20, 2019Updated 6 years ago
- 机器学习算法之集成学习☆14Aug 15, 2019Updated 6 years ago
- Stacked Generalization (Ensemble Learning)☆230Dec 21, 2017Updated 8 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☆28Apr 20, 2020Updated 5 years ago
- Python与机器学习方向,《决策树与集成算法》课程仓库☆25Jun 13, 2018Updated 7 years ago
- Stacking classification and regression☆25Oct 12, 2019Updated 6 years ago
- 🎈 2020年中国高校计算机大赛(C4)-网络技术挑战赛EP2赛项 基于XGBoost集成学习模型的在线流量分类模型☆19Jul 3, 2022Updated 3 years ago
- 在Kaggle比赛中的Featuretools指南☆19Jul 9, 2018Updated 7 years ago
- 2018年中国联通大数据创新大赛:高端用户离网预测/用户换机时间预测全套代码☆13Nov 23, 2018Updated 7 years ago
- 量化FOF框架☆13Mar 8, 2019Updated 7 years ago
- 基于pytorch框架,针对文本分类的机器学习项目,集成多种算法(xgboost, lstm, bert, mezha等等),提供基础数据集,开箱即用,方便自己二次拓展,持续更新☆33Mar 23, 2023Updated 3 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。☆25Feb 25, 2019Updated 7 years ago
- 机器学习预测模型,分别用逻辑回归,决策树,随机森林,神经网络,XGBOOST和支持向量机算法建模,交叉验证,并选出AUC最优的模型。特征工程优化后,AUC值达到0.8259☆58Mar 26, 2020Updated 5 years ago
- Uses Harris Hawk and Whale Nature Inspired Algorithm to Train the weights of Neural Network. An approach to adjust the parameters of NN c…☆16Jun 23, 2021Updated 4 years ago
- My blogs and code for machine learning. http://cnblogs.com/pinard☆13Jul 12, 2019Updated 6 years ago
- 个人开发工具库☆17Apr 30, 2022Updated 3 years ago
- 天池竞赛数据挖掘之二手车交易价格预测大赛☆10Mar 27, 2020Updated 5 years ago
- Crop Yield Prediction using various ML approaches - Random-Forest Regressor, Gradient-Boosting Regressor, Decision-Tree Regressor, Suppo…☆10Jul 13, 2023Updated 2 years ago
- Feature selection for machine learning using mutual information.☆15Dec 4, 2024Updated last year
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆80Feb 13, 2025Updated last year
- 为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。☆437Oct 16, 2021Updated 4 years ago
- 常用的特征选择方法☆67Jul 4, 2022Updated 3 years ago
- 为了深入了解一些机器学习算法,把一些经典算法的代码都过一遍。包括决策树、集成学习(Adaboost、GBDT、XgBoost、RandomForest)、支持向量机、EM算法(GMM)、极大似然估计、降维算法(PCA、LDA、T-SNE)、聚类算法(K-Mean)、kNN。☆16Apr 1, 2022Updated 3 years ago
- python 用GA算法优化BP神经网络☆165Mar 16, 2021Updated 5 years ago
- ☆10Feb 13, 2021Updated 5 years ago
- 和高光谱数据处理相关程序☆11Oct 11, 2019Updated 6 years ago
- 分箱工具☆20Dec 14, 2020Updated 5 years ago
- CCF BDCI 2022比赛 返乡发展人群预测赛题 Baseline 数据挖掘(特征工程+集成学习)队伍排名39/2297☆12Mar 15, 2024Updated 2 years ago
- 基于seq2seq模型的风功率预测☆31Nov 2, 2019Updated 6 years ago
- ☆18Aug 10, 2020Updated 5 years ago
- A combination of lightweight, high specific strength, and good castability make magnesium alloys a promising engineering material for the…☆13Dec 1, 2020Updated 5 years ago
- Embedding模型代码和学习笔记总结☆42Aug 28, 2021Updated 4 years ago
- First-principles calculated elastic and mechanical properties of 2D materials and their heterostructures☆16Mar 5, 2024Updated 2 years ago
- 使用LSTM预测回归问题,使用注意力机制自动提取特征的重要程度。Using LSTM to predict regression problems, Attention mechanism is used to automatically extract the impor…☆18Aug 30, 2020Updated 5 years ago
- Ordinal-patterns-based analysis toolbox (permutation entropy, robust permutation entropy, conditional entropy of ordinal patterns, ordina…☆17Nov 23, 2018Updated 7 years ago
- Predicted a stock price close of a day based on the last 7 day’s time series data using Neural Network, LSTM and CNN. Found the best numb…☆11Feb 1, 2020Updated 6 years ago
- GA_python for multi-parameters optimization☆28Nov 30, 2018Updated 7 years ago
- Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics☆19May 9, 2022Updated 3 years ago
- 机器学习数据预处理:包括画数据分布图、特征筛选、调参技巧☆12Mar 14, 2024Updated 2 years ago