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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
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Voice4RuralA complete one stop solution for all the problems of Rural area people. 👩🏻🌾
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Quran TajweedTajweed annotation for the Qur'an
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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
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QuantumForestFast Differentiable Forest lib with the advantages of both decision trees and neural networks
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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RobustTrees[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
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dflowA lightweight library for designing and executing workflows in .NET Core
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C4.5A python implementation of C4.5 algorithm by R. Quinlan
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MLDay18Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
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PyNetsA Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
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ProtoTreeProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
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LightgbmA fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
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Pac-ManEvolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)
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Machine Learning In RWorkshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
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MachineLearningImplementations of machine learning algorithm by Python 3
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Amazon-Fine-Food-ReviewMachine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
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SilverdecisionsSoftware for creating and analyzing decision trees.
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interpretable-mlTechniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
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goscoreGo Scoring API for PMML
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business-rules-motor-insuranceHyperon - Motor Insurance Demo App. This is a sample application to demonstrate capabilities of Hyperon.io library (Java Business Rules Engine (BRE)/Java Pricing Engine). The application demonstrates responsive quotations for Car/Motor Insurance based on decision tables and Rhino functions (for math calculations). It shows different possible bus…
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lleavesCompiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
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stackgbm🌳 Stacked Gradient Boosting Machines
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df-dn-paperConceptual & empirical comparisons between decision forests & deep networks
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Statistical-Learning-using-RThis is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
Stars: ✭ 27 (+3.85%)
supervised-machine-learningThis repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…
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Orange3🍊 📊 💡 Orange: Interactive data analysis
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statemachine-go🚦 Declarative Finite-State Machines in Go
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Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
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cortana-intelligence-customer360This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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ecPoint-CalibrateInteractive GUI (developed in Python) for calibration and conditional verification of numerical weather prediction model outputs.
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IPL-ML-2018Predicting IPL match results. https://kuharan.github.io/IPL-ML-2018/
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RubiRubi for Mathematica
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rfvisA tool for visualizing the structure and performance of Random Forests 🌳
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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)
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SporfThis is the implementation of Sparse Projection Oblique Randomer Forest
Stars: ✭ 70 (+169.23%)
multi-imbalancePython package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
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ExploreR package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
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Encoder-ForesteForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
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linear-treeA python library to build Model Trees with Linear Models at the leaves.
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aifadAIFAD - Automated Induction of Functions over Algebraic Data Types
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AdaptiveRandomForestRepository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
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GROOT[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html
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Face-LandmarkingReal time face landmarking using decision trees and NN autoencoders
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