adaboost

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

python data-science machine-learning data-mining random-forest kaggle id3 gbdt gbm gbrt gradient-boosting-machine cart adaboost decision-trees gradient-boosting c45-trees categorical-features gradient-boosting-machines regression-tree

Updated Dec 26, 2023
Python

mdabros / SharpLearning

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Machine learning for C# .Net

learning machine-learning opensource deep-learning csharp dotnet random-forest metrics machine cross-validation gradient-boosting-machine ensemble-learning adaboost decision-trees neural-nets

Updated Apr 13, 2024
C#

jerryxyx / AlphaTrading

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An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

trading-strategies adaboost factor-analysis kalman-filter equity-markets factor-returns apt-model barra-model

Updated Aug 7, 2018
Jupyter Notebook

moon-hotel / MachineLearningWithMe

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A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现

python machine-learning clustering svm naive-bayes machine-learning-algorithms kd-tree pca self-training gbdt ensemble-learning cart adaboost hca knn decision-tree-classifier svm-classifier hierarchical-clustering dbscan-clustering

Updated Apr 27, 2024
Python

arnaldog12 / Machine_Learning

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Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

python machine-learning neural-network naive-bayes linear-regression machine-learning-algorithms regression feature-selection logistic-regression kmeans adaboost decision-trees polynomial-regression knn principal-component-analysis redes-neurais-artificiais linear-discriminant-analysis multilinear-regression

Updated Apr 27, 2022
Jupyter Notebook

DoubangoTelecom / compv

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Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

machine-learning arm computer-vision neural-network assembler artificial-intelligence text-recognition x86 artificial-neural-networks pattern-recognition adaboost support-vector-machines boosting ocr-recognition gpgpu-computing

Updated Nov 30, 2023
C++

luokn / ml

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经典机器学习算法的极简实现

python machine-learning log algorithms numpy svm naive-bayes pca logistic-regression perceptron kmeans adaboost lda gmm knn decision-tree

Updated Nov 22, 2022
Python

myazi / myLearn

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machine learning algorithm

hmm log svm crf linear-regression dnn id3 logistic-regression cart adaboost bayes gmm rf knn softmax-regression kmeans-clustering memm

Updated Nov 9, 2021
C++

HsiehYiChia / Scene-text-recognition

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Scene text detection and recognition based on Extremal Region(ER)

Updated May 11, 2020
C++

jasonleaster / FaceDetection

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🌟 Human Face Detection based on AdaBoost

python numpy face-detection adaboost

Updated May 1, 2016
Python

SunnyMarkLiu / Naive_Bayes_Meet_Adaboost

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📧 Implement Naive Bayes and Adaboost from scratch and use them to filter spam emails.

naive-bayes-classifier adaboost

Updated Apr 4, 2017
Python

chenchiwei / tradaboost

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Transfer learning algorithm TrAdaboost,coded by python

python transfer-learning adaboost tradaboost

Updated Dec 10, 2022
Python

kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

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Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks