机器学习集成模型之Stacking各类模型及工具源码
☆119Sep 29, 2020Updated 6 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☆82Sep 20, 2019Updated 7 years ago
- 机器学习算法之集成学习☆13Aug 15, 2019Updated 7 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 6 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 8 years ago
- 使用5-6个模型(可以是knn svm 贝叶斯等等)用投票的方式做一个集成学习对MNIST数据集进行分类。☆24Feb 20, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Stacking classification and regression☆25Oct 12, 2019Updated 7 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☆20Jul 3, 2022Updated 4 years ago
- This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking a…☆54Nov 18, 2021Updated 4 years ago
- 使用pyhton3语言对机器学习算法中的K近邻算法、线性回归、多项式回归、逻辑回归、PCA、SVM、决策树、随机森林、集成学习、boosting 等进行了算法的实现以及实验分析☆48Mar 21, 2019Updated 7 years ago
- A simple approach to supervisory MPC for building systems☆13Apr 11, 2023Updated 3 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
- papers about recommender system.☆10May 18, 2021Updated 5 years ago
- Computational intelligence approaches for solving the berth allocation problem.☆12Feb 26, 2025Updated last year
- 量化FOF框架☆13Mar 8, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 利用python对3000个数据利用机器学习算法建立模型,并预测未来客户信用风险。处理数据不均衡问题时采用了SMOTE过采样以及随机过采样技术;通过相关性分析进行特征选择;建模过程中用到了Logistic回归、SVM、随机森林、GBDT四种模型,并通过网格搜索法确定最优参数…☆36Jun 8, 2022Updated 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。☆26Feb 25, 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☆34Mar 23, 2023Updated 3 years ago
- 运动想象脑机接口分类算法☆13Jul 27, 2020Updated 6 years ago
- A practice of Recursive Feature Elimination (RFE) using Titanic dataset☆10Sep 5, 2021Updated 5 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☆59Mar 26, 2020Updated 6 years ago
- 券商金工研报复现☆13Nov 4, 2020Updated 5 years ago
- 运筹优化数学基础 + 算法☆18Aug 19, 2021Updated 5 years ago
- My blogs and code for machine learning. http://cnblogs.com/pinard☆13Jul 12, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code associated with the manuscript Spatial Transcriptomics to define transcriptional patterns of zonation and structural components in t…☆22Aug 19, 2022Updated 4 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
- Materials representation plays a key role in machine learning based prediction of materials properties and new materials discovery. Curre…☆12Jan 15, 2021Updated 5 years ago
- 用随机森林预测客户还款率☆11Mar 12, 2018Updated 8 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 6 years ago
- How would you predict the compressive strength of concrete as a function of its constituent materials and curing time? In this portfolio …☆14Nov 27, 2020Updated 5 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆86Feb 13, 2025Updated last year
- 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
- Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island Transpeciation☆13Nov 15, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- 个人开发工具库☆17Apr 30, 2022Updated 4 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 4 years ago
- 常用的特征选择方法☆67Jul 4, 2022Updated 4 years ago
- ☆10Aug 14, 2026Updated 2 months ago
- 和高光谱数据处理相关程序☆11Oct 11, 2019Updated 7 years ago
- J. Zhang and J. Wang, "Improved Whale Optimization Algorithm Based on Nonlinear Adaptive Weight and Golden Sine Operator", IEEE Access, v…☆13Sep 23, 2021Updated 5 years ago
- 分箱工具☆21Dec 14, 2020Updated 5 years ago