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
Related projects ⓘ
Alternatives and complementary repositories for RandomForest-MachineLearning
- Simple Python Adaboost Implementation☆25Updated 4 years ago
- A Python 2 implementation of Fuzzy C Means Clustering algorithm.☆48Updated 4 years ago
- Python implementation of a random forest for use with continuous value attributes☆57Updated 7 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆61Updated 5 years ago
- ☆60Updated 7 years ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆29Updated last year
- A graph clustering method with ant colony optimization for feature selection☆12Updated 4 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☆51Updated 7 years ago
- A feature extractor based on Python 3, Tensorflow, and Scikit-learn created to improve the SVM accuracy to classify the MNIST dataset fas…☆70Updated last year
- An adaboost implementation with decision trees in pure python.☆16Updated 8 years ago
- attempt to predict the stock price with BP neural network☆15Updated 7 years ago
- C4.5 Decision Tree python implementation with validation, pruning, and attribute multi-splitting☆81Updated 6 years ago
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆96Updated 6 years ago
- Python implementation of CART regression tree and random forests☆44Updated 9 years ago
- 利用深度RBM构建多分类模型☆19Updated 9 years ago
- Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…☆71Updated 3 years ago
- about how to use CNN with one dimensional signal☆29Updated 6 years ago
- cdSRC(Class-Dependent Sparse Representation Classifier) 基于类别的稀疏表示分类器的简单实现，MATLAB代码版本。下面是原论文地址：☆23Updated 9 years ago
- Transfer learning algorithm TrAdaboost,coded by python☆121Updated last year
- AdaboostExample☆43Updated 4 years ago
- This project is the same with deeplearning.net, but the comment is written for chinese☆23Updated 7 years ago
- Synthetic Minority Over-sampling Technique☆38Updated 7 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
- 使用libsvm和遗传算法优化支持向量机的cost和gamma参数☆31Updated 12 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆28Updated 9 years ago
- Learning and Recording☆34Updated 5 years ago
- Script to extract CNN deep features with different ConvNets, and then use them for an Image Classification task with a SVM classifier wit…☆31Updated 6 years ago
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 6 years ago