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adaboost

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AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

fp-growth apriori mahchine-leaning naivebayes svm adaboost kmeans svd pca logistic regression scikit-learn 自然语言处理深度学习 Python dnn lstm rnn

Python

41282

11576

9 个月前

Jack-Cherish / Machine-Learning

⚡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

adaboost logistic svm smo knn 机器学习 Python navie-bayes-algorithm decision-tree regression

Python

9852

5109

1 年前

Zephery / weiboanalysis

微博情感分析，文本分类，毕业设计项目

adaboost svm 机器学习

Python

1029

207

5 年前

benedekrozemberczki / awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

gradient-boosting gradient-boosting-machine gradient-boosted-trees xgboost catboost lightgbm random-forest decision-tree classification-algorithm 机器学习深度学习 h2o classifier adaboost

Python

1023

161

1 年前

TeFuirnever / Machine-Learning-in-Action

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

knn decisiontree naivebayes logistic svm adaboost regression

Python

958

279

6 年前

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

decision-trees gradient-boosting gradient-boosting-machine random-forest adaboost id3 cart regression-tree gbm data-mining 数据科学 kaggle gbdt gbrt 机器学习 Python categorical-features

Python

481

100

1 个月前

mdabros / SharpLearning

Machine learning for C# .Net

机器学习 C#decision-trees adaboost gradient-boosting-machine random-forest neural-nets 深度学习 ensemble-learning cross-validation 监控 .NET machine learning Open Source

399

5 个月前

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.

trading-strategies kalman-filter adaboost

Jupyter Notebook

366

143

7 年前

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

机器学习 adaboost clustering naive-bayes Python cart decision-tree-classifier kd-tree knn pca svm dbscan-clustering ensemble-learning gbdt hierarchical-clustering

Jupyter Notebook

277

2 个月前

arnaldog12 / Machine_Learning

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

机器学习 adaboost decision-trees kmeans knn principal-component-analysis naive-bayes regression linear-regression 神经网络 Python feature-selection logistic-regression

Jupyter Notebook

222

1 个月前

DoubangoTelecom / compv

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

机器视觉人工智能 artificial-neural-networks 机器学习 ocr-recognition text-recognition 神经网络 support-vector-machines adaboost Assembly arm x86 gpgpu-computing pattern-recognition

C++

199

15 天前

luokn / ml

经典机器学习算法的极简实现

机器学习 Python NumPy 算法 adaboost kmeans knn lda log logistic-regression naive-bayes pca svm decision-tree

Python

185

9 个月前

HsiehYiChia / Scene-text-recognition

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

adaboost svm OpenCV OCR 图像处理机器视觉 scene-text-recognition scene-text-detection 机器学习算法 detection text-recognition canny spelling-checker classifier

C++

167

5 年前

jasonleaster / FaceDetection

🌟 Human Face Detection based on AdaBoost

adaboost face-detection Python NumPy

Python

166

9 年前

myazi / myLearn

machine learning algorithm

adaboost cart crf dnn id3 hmm knn linear-regression log logistic-regression Robot Framework svm

C++

162

4 年前

SunnyMarkLiu / Naive_Bayes_Meet_Adaboost

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

naive-bayes-classifier adaboost

Python

159

8 年前

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

stock prediction predictive-modeling knn-classifier adaboost decision-tree parameter-tuning pipeline random-forest logistic-regression algorithmic-trading stocks

Jupyter Notebook

133

3 年前