Orange3π π π‘ Orange: Interactive data analysis
Stars: β 3,152 (+9451.52%)
Mutual labels: random-forest, clustering, regression, decision-trees
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: β 2,197 (+6557.58%)
Mutual labels: random-forest, clustering, regression, decision-trees
2018 Machinelearning Lectures EsaMachine Learning Lectures at the European Space Agency (ESA) in 2018
Stars: β 280 (+748.48%)
Mutual labels: random-forest, clustering, decision-trees
loloA random forest
Stars: β 37 (+12.12%)
Mutual labels: random-forest, regression
Machine Learning In RWorkshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
Stars: β 144 (+336.36%)
Mutual labels: random-forest, decision-trees
Machine Learning ModelsDecision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
Stars: β 160 (+384.85%)
Mutual labels: random-forest, decision-trees
Machine Learning Is All You Needπ₯πγMachine Learning ζ Όη©εΏγ: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!πͺ This repository is ALL You Need!
Stars: β 173 (+424.24%)
Mutual labels: random-forest, decision-trees
ChefboostA Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python
Stars: β 176 (+433.33%)
Mutual labels: random-forest, decision-trees
scicloj.mlA Clojure machine learning library
Stars: β 152 (+360.61%)
Mutual labels: clustering, regression
ml-bookCodice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"
Stars: β 16 (-51.52%)
Mutual labels: clustering, regression
AIML-ProjectsProjects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
Stars: β 85 (+157.58%)
Mutual labels: random-forest, support-vector-machines
The Data Science WorkshopA New, Interactive Approach to Learning Data Science
Stars: β 126 (+281.82%)
Mutual labels: random-forest, regression
Network Intrusion DetectionMachine Learning with the NSL-KDD dataset for Network Intrusion Detection
Stars: β 119 (+260.61%)
Mutual labels: random-forest, decision-trees
Text classificationText Classification Algorithms: A Survey
Stars: β 1,276 (+3766.67%)
Mutual labels: random-forest, decision-trees
Predicting real estate prices using scikit LearnPredicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
Stars: β 78 (+136.36%)
Mutual labels: random-forest, decision-trees
MachineLearningMachine learning for beginner(Data Science enthusiast)
Stars: β 104 (+215.15%)
Mutual labels: regression, hypothesis-testing
SharplearningMachine learning for C# .Net
Stars: β 294 (+790.91%)
Mutual labels: random-forest, decision-trees
SporfThis is the implementation of Sparse Projection Oblique Randomer Forest
Stars: β 70 (+112.12%)
Mutual labels: random-forest, decision-trees