zhaoxingfeng / RandomForest

Related projects ⓘ

Alternatives and complementary repositories for RandomForest

• L-ear / RandomForest
  python实现的随机森林
  ☆88Updated 2 years ago
• goodboyv / Sklearn_Mochine_leanring
  利用sklearn实现机器学习算法：线性回归、逻辑回归、决策树、随机森林、SVM等
  ☆133Updated 4 years ago
• daniu101 / RandomForest
  随机森林模型
  ☆9Updated 6 years ago
• ymzx / pso-svm
  粒子群算法优化支持向量机
  ☆131Updated 2 years ago
• wyn-365 / temp-predict
  实验源代码-----基于随机森林的气温预测
  ☆35Updated 4 years ago
• KangCai / Machine-Learning-Algorithm
  【Numpy 手写实现】SVM 支持向量机 | KNN K近邻 | Kmeans | Logistic Regression 逻辑回归 | Maximum Entropy 最大熵 | Naive Bayes 朴素贝叶斯 | Perception 感知机 | Decision…
  ☆204Updated 4 years ago
• JiongXing / sklearn-DecisionTree
  决策树、随机森林
  ☆47Updated 5 years ago
• rogeroyer / feature_selection_GAAlgorithm
  基于遗传算法的特征选择
  ☆124Updated 4 years ago
• BackyardofAbela / EnsembleLearning
  包括决策树和随机森林进行离职人员预测，Xgboost和lightGBM的应用
  ☆276Updated 4 years ago
• wojiushimogui / SVM
  支持向量机的python实现
  ☆43Updated 9 years ago
• xinlianghu / svm
  用Python实现SVM多分类器
  ☆375Updated 6 months ago
• zhaoxingfeng / SVM
  支持向量机，Support Vector Machine(SVM)，多类分类
  ☆28Updated 7 years ago
• Erikfather / Decision_tree-python
  决策树分类（ID3，C4.5，CART）
  ☆466Updated last year
• agustincastro / RandomForest-MachineLearning
  Python package for analysing data using machine learning techniques. Provides implementations of different kinds of decision trees and ra…
  ☆24Updated 5 years ago
• qiuhaining / sklearn-SVM
  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
• weepon / feature_selection
  常用的特征选择方法
  ☆68Updated 2 years ago
• 634671436 / Air_Pollution_Forcast_Beijing
  基于Keras的LSTM多变量时间序列预测
  ☆174Updated 6 years ago
• Shi-Lixin / Machine-Learning-Algorithms
  Python实现经典分类回归、关联分析、聚类以及推荐算法等
  ☆205Updated 5 years ago
• HiddenSharp / LSTM-SVM-RF-time-series
  Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测，注释拉满。
  ☆177Updated 4 years ago
• ShaoQiBNU / stacking
  集成学习Stacking方法详解
  ☆65Updated 5 years ago
• tjaume / BPNeuralNetworks
  利用Python实现三层BP神经网络
  ☆79Updated 6 years ago
• Alxe1 / FeatureSelectionsAndExtractions
  feature selections and extractions
  ☆87Updated 5 months ago
• MichaelLee826 / iris_classification_BPNeuralNetwork
  Python 基于BP神经网络实现鸢尾花的分类
  ☆321Updated 4 years ago
• yl-jiang / Clustering-Python
  Python Clustering Algorithms
  ☆29Updated 4 years ago
• GISerWang / Spatio-temporal-Clustering
  使用numpy实现的聚类算法（包括时空聚类算法）
  ☆568Updated 5 years ago
• anxinguo / Machine-Learning
  BPNN, SVC, SVR, CART, GSOM, LOF, K_MEANS, GRNN, LR, MLR
  ☆19Updated 7 years ago
• wzcwzcwzc / LSTM_Prediction
  Use LSTM to do PM2.5 prediction
  ☆42Updated 4 years ago
• Lupino / bpnn
  bp 神经网络算法
  ☆114Updated last year
• HanXia001 / k-means-python3-
  聚类算法k-means的简单实现
  ☆35Updated 6 years ago
• iwuqing / Time-Series-Classification-based-on-KNN
  基于KNN聚类算法结合Dynamic Time Warping（动态时间调整）的时间序列分类
  ☆57Updated 5 years ago