Alternatives and similar repositories for Python-Regression-Tree-Forest

Users that are interested in Python-Regression-Tree-Forest are comparing it to the libraries listed below

• RyanYoung25 / randomForest
  Python implementation of a random forest for use with continuous value attributes
  ☆58Updated 7 years ago
• zhaoyu611 / DeepLearningTutorialForChinese
  This project is the same with deeplearning.net, but the comment is written for chinese
  ☆23Updated 8 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• kevin-keraudren / randomforest-python
  ☆58Updated 9 years ago
• log0 / vertebral
  Demonstration of the effect of synthetic features on linear models
  ☆79Updated 11 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 7 years ago
• metpallyv / DecisionTrees
  Goal of this project is to build Classification Decision Trees and Regression Decision trees without using any Machine learning libraries
  ☆10Updated 6 years ago
• claesenm / EnsembleSVM
  A Library for Ensemble Learning Using Support Vector Machines
  ☆106Updated 11 years ago
• HanXiaoyang / Feature_Engineering_and_XGBoost_Parameter_Tuning
  Examples of how to do feature engineering and Xgboost parameter tuning
  ☆46Updated 8 years ago
• lbkchen / deep-learning
  Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to p…
  ☆36Updated 8 years ago
• unnati-xyz / ensemble-package
  Package for Ensemble of Machine Learning Models
  ☆30Updated 5 years ago
• jasonwbw / DensityPeakCluster
  A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.
  ☆305Updated 7 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• JerryZhong / GBDT
  simple multi-class GBDT
  ☆15Updated 11 years ago
• tankle / EM
  EM algorithm
  ☆60Updated 9 years ago
• nathanntg / adaboost
  Simple Python Adaboost Implementation
  ☆25Updated 4 years ago
• dataworkshop / xgboost
  Tutorial how to use xgboost
  ☆184Updated 8 years ago
• SCP-173-cool / Keras-RNN-timeseries
  Keras-RNN-timeseries
  ☆27Updated 6 years ago
• DrSkippy / Python-DP-Means-Clustering
  DP-means K-means clustering algorithms comparison
  ☆38Updated 10 years ago
• ramarlina / som
  Self-Organizing Map for unsupervised feature engineering and dimensionality reduction
  ☆21Updated 12 years ago
• arasharchor / RecSys-DAE-tensorflow
  Simple Recommender System using Denoising AutoEncoder, implemented using TensorFlow
  ☆16Updated 8 years ago
• MansteinLiliang / Transfer-Learning
  迁移学习
  ☆18Updated 6 years ago
• ikki407 / stacking
  Stacked Generalization (Ensemble Learning)
  ☆224Updated 7 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆62Updated 8 years ago
• fabianp / group_lasso
  ☆39Updated 12 years ago
• lucastheis / deepbelief
  Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
  ☆59Updated 13 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• freedomljc / Loan_Default_Prediction
  This is the Python Code for the submission to Kaggle's Loan Default Prediction by the ID "HelloWorld"
  ☆62Updated 11 years ago
• Chunpai / LASSO
  solve LASSO formulation with Proximal Gradient Descent, Accelerated Gradient Descent, and Coordinate Gradient Descent
  ☆21Updated 10 years ago