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
- ☆15Updated 4 years ago
- Stacking classification and regression☆22Updated 5 years ago
- Python implementation of CART regression tree and random forests☆44Updated 10 years ago
- ☆61Updated 7 years ago
- Python implementation of a random forest for use with continuous value attributes☆57Updated 7 years ago
- Simple Python Adaboost Implementation☆25Updated 4 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
- Classification and Clustering using Support Vector Machine and Enhanced Fuzzy C-Means☆8Updated 7 years ago
- Feature selection tool using random forest variable importance measures.☆17Updated 8 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆61Updated 6 years ago
- 支持向量机,Support Vector Machine(SVM),多类分类☆30Updated 8 years ago
- This project is the same with deeplearning.net, but the comment is written for chinese☆23Updated 8 years ago
- Select filter features with mutual-information-based methods☆11Updated last year
- 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
- 利用深度RBM构建多分类模型☆19Updated 9 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
- A Python 2 implementation of Fuzzy C Means Clustering algorithm.☆50Updated 4 years ago
- In this project, I will demonstrate how to combine Genetic Algorithm with Convolutional Neural Network☆42Updated 6 years ago
- keras注意力机制☆17Updated 6 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆11Updated 6 years ago
- 常用的特征选择方法☆68Updated 2 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
- Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.☆33Updated 7 years ago
- A graph clustering method with ant colony optimization for feature selection☆12Updated 4 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 2 years ago
- Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…☆72Updated 3 years ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 6 years ago
- 基于遗传算法的特征选择☆127Updated 5 years ago
- Bagging, boosting and random forests in Matlab☆24Updated 9 years ago
- ☆20Updated 5 years ago