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

serengil / chefboost

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Lightweight Decision Trees Framework supporting Gradient Boosting (GBDT, GBRT, GBM), 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 Jul 14, 2020
Python

DoubangoTelecom / compv

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Insanely fast 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 Aug 30, 2020
C++

chenchiwei / tradaboost

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Transfer learning algorithm TrAdaboost,coded by python

python transfer-learning adaboost tradaboost

Updated Feb 8, 2018
Python

bt3gl / Machine_Learning_Stony_Brook_Grad_Course

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ML classifiers and examples from my graduate class at Stony Brook.

python machine-learning naive-bayes-classifier logistic-regression adaboost knn

Updated Jul 28, 2020
Python

noahlevenson / wasmface

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Fast WebAssembly face detection for HTML5 canvas

machine-learning computer-vision webassembly adaboost haar-cascade cascade-classifier viola-jones haar-training haar-cascade-classifier

Updated May 28, 2018
C++

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

pipeline random-forest prediction stock logistic-regression predictive-analysis stocks adaboost predictive-modeling algorithmic-trading decision-tree svm-classifier quadratic-discriminant-analysis parameter-tuning guassian-processes gridsearchcv knn-classifier

Updated Mar 28, 2020
Jupyter Notebook

serengil / decision-trees-for-ml

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Building Decision Trees From Scratch In Python

machine-learning random-forest xgboost id3 gbm lightgbm gradient-boosting-machine cart adaboost c45 decision-tree gradient-boosting boosting bagging regression-trees

Updated Nov 3, 2019
Jupyter Notebook

girisagar46 / FYPFruitClassifier

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Automatic Fruit Classifier Using Supervised AdaBoost Machine Learning Algorithm

flask machine-learning adaboost

Updated Jan 29, 2020
HTML

sunsided / viola-jones-adaboost

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Training a face detection cascade using Adaptive Boosting after Viola and Jones.

python machine-learning computer-vision jupyter-notebook face-detection adaboost haar-cascade viola-jones

Updated Apr 25, 2018
Jupyter Notebook

jzplp / Face-Detection

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本科毕业设计基于Haar特征与AdaBoost算法的人脸检测的实现

face-detection adaboost haar haar-adaboost

Updated May 7, 2018
MATLAB

zhaoyichanghong / machine_learing_algo_python

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implement the machine learning algorithms by python for studying

machine-learning deep-learning neural-network linear-regression collaborative-filtering gaussian-mixture-models gbdt logistic-regression tf-idf kmeans adaboost support-vector-machines decision-tree principal-component-analysis linear-discriminant-analysis spectral-clustering isolation-forest k-nearest-neighbor rbf-network gaussian-discriminant-analysis

Updated Oct 24, 2019
Python

kennedyCzar / FORECASTING-1.0

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Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy