adaboost
There are 648 repositories under adaboost topic.
apachecn/ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Jack-Cherish/Machine-Learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Zephery/weiboanalysis
微博情感分析，文本分类，毕业设计项目
benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
TeFuirnever/Machine-Learning-in-Action
⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀
serengil/chefboost
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
mdabros/SharpLearning
Machine learning for C# .Net
jerryxyx/AlphaTrading
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.
moon-hotel/MachineLearningWithMe
A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。@月来客栈 出品
arnaldog12/Machine_Learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
DoubangoTelecom/compv
Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
luokn/ml
经典机器学习算法的极简实现
HsiehYiChia/Scene-text-recognition
Scene text detection and recognition based on Extremal Region(ER)
jasonleaster/FaceDetection
:star2: Human Face Detection based on AdaBoost
myazi/myLearn
machine learning algorithm
SunnyMarkLiu/Naive_Bayes_Meet_Adaboost
:email: Implement Naive Bayes and Adaboost from scratch and use them to filter spam emails.
kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
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
chenchiwei/tradaboost
Transfer learning algorithm TrAdaboost,coded by python
noahlevenson/wasmface
Viola-Jones face detection from scratch in WebAssembly
serengil/decision-trees-for-ml
Building Decision Trees From Scratch In Python
sunsided/viola-jones-adaboost
Training a face detection cascade using Adaptive Boosting after Viola and Jones.
rmitsuboshi/miniboosts
A collection of boosting algorithms written in Rust 🦀
jzplp/Face-Detection
本科毕业设计 基于Haar特征与AdaBoost算法的人脸检测的实现
zhaoyichanghong/machine_learing_algo_python
implement the machine learning algorithms by python for studying
Donny-Hikari/Viola-Jones
A face detection program in python using Viola-Jones algorithm.
layumi/AdaBoost_Seg
TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? :woman_shrugging: Why not ! :ok_woman:
jrothschild33/Fudan-DataMining
2020 Spring Fudan University Data Mining Course HW by prof. Zhu Xuening. 复旦大学大数据学院2020年春季课程-数据挖掘（DATA620007）包含数据挖掘算法模型：Linear Regression Model、Logistic Regression Model、Linear Discriminant Analysis、K-Nearest Neighbour、Naive Bayes Classifier、Decision Tree Model、AdaBoost、Gradient Boosting Decision Tree(GBDT)、XGBoost、Random Forest Model、Support Vector Machine、Principal Component Analysis(PCA)
kr-viku/GLAUCOMA-DETECTION
AUTOMATED TYPE CLASSIFICATION OF GLAUCOMA DETECTION USING DEEP LEARNING
kennedyCzar/FORECASTING-1.0
Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy
YC-Coder-Chen/Tree-Math
Math behind all the mainstream tree-based machine learning models
rahul-38-26-0111-0003/Network-based-Intrusion-Detection-Systems
Final Year project based upon Network Intrusion Detection System
davidcamilo0710/qatar_2022_prediction
QATAR 2022 World Cup prediction from the international matches played since the 90s, the qualifications of the teams in their last matches, and the potential of each team.
girisagar46/FYPFruitClassifier
Automatic Fruit Classifier Using Supervised AdaBoost Machine Learning Algorithm
gtzjh/mymodels
Assemble an efficient interpretable machine learning workflow.
sibirbil/RuleDiscovery
Two algorithms based on linear programming to discover classification rules for interpretable learning.