AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
⚡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
A curated list of gradient boosting research papers with implementations.
⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀
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
Machine learning for C# .Net
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.
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
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
经典机器学习算法的极简实现
Scene text detection and recognition based on Extremal Region(ER)
🌟 Human Face Detection based on AdaBoost
machine learning algorithm
📧 Implement Naive Bayes and Adaboost from scratch and use them to filter spam emails.
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
Transfer learning algorithm TrAdaboost,coded by python
Viola-Jones face detection from scratch in WebAssembly
Building Decision Trees From Scratch In Python