agustincastro / RandomForest-MachineLearning
Python package for analysing data using machine learning techniques. Provides implementations of different kinds of decision trees and random forests in order to solve classification problems.
☆24Updated 5 years ago
Alternatives and similar repositories for RandomForest-MachineLearning:
Users that are interested in RandomForest-MachineLearning are comparing it to the libraries listed below
- Stacking classification and regression☆22Updated 5 years ago
- Python implementation of CART regression tree and random forests☆44Updated 10 years ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆30Updated last year
- Simple Python Adaboost Implementation☆25Updated 4 years ago
- Feature selection tool using random forest variable importance measures.☆17Updated 8 years ago
- Basic algorithms about machine learnig☆50Updated 4 years ago
- This repository contains the source code for four oversampling methods that I wrote in MATLAB: 1) SMOTE 2) Borderline SMOTE 3) Safe Level…☆37Updated 8 years ago
- Python implementation of a random forest for use with continuous value attributes☆58Updated 7 years ago
- 随机森林,Random Forest(RF)☆396Updated 5 years ago
- AdaboostExample☆43Updated 5 years ago
- 基于遗传算法的特征选择☆127Updated 5 years ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder:使用AE variant(de-noising / sparse / contractive AE)进行预训练,用BP算法进行微调☆42Updated 8 years ago
- A graph clustering method with ant colony optimization for feature selection☆12Updated 4 years ago
- Tutorial how to use xgboost☆183Updated 8 years ago
- 支持向量机(SVM)——分类预测,包括多分类问题,核函数调参,不平衡数据问题,特征降维,网格搜索,管道机制,学习曲线,混淆矩阵,AUC曲线等☆52Updated 7 years ago
- Oversampling for imbalanced learning based on k-means and SMOTE☆125Updated 3 years ago
- An adaboost implementation with decision trees in pure python.☆16Updated 8 years ago
- 迁移学习☆18Updated 6 years ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 6 years ago
- Support Vector Regression☆55Updated 6 years ago
- This project is the same with deeplearning.net, but the comment is written for chinese☆23Updated 8 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆28Updated 9 years ago
- ☆61Updated 7 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。☆24Updated 6 years ago
- There are some reproduced algorithms for learning from imbalanced data, including over-sampling,under-sampling and boosting☆12Updated last year
- 在sklearn下,几种常用的特征选择方法☆40Updated 9 years ago
- Python code of RBF neural network classification model☆45Updated 6 years ago
- The codes的K-means,FCM,谱聚类,DBSCAN,AP(AffinityPropagation),DPC聚类算法比较☆154Updated 7 years ago
- 集成学习Stacking方法详解☆74Updated 5 years ago
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆27Updated 7 years ago