Popular GitHub Repositories for Randomforest

A Unified Framework for Random Forest Prediction Error Estimation

Lung Cancer Prediction using Machine Learning Algorithms

Fraud detection using lgb, catboost, rf, etc

Plot tree based machine learning models

Prediction of Customer Churn using Spark Mllib

MACHINE LEARNING / NLP / AMAZON SAGEMAKER: Plagiarism detector in 3 ML model versions (XGBoost, Random Forest & my implemementation) deployed on Amazon SageMaker.

Random Forest Binary Classification is applying on sample data in PySpark on Jupyter Notebook

This project is the application of machine learning algorithms to predict bioactivity of IC50 type molecules on SARS Coronavirus (Replicase polyprotein 1ab single-protein database).

This repository contains a Flask application for detecting phishing URLs using machine learning. It includes preprocessing, feature extraction, model training, and model deployment in a web application.

SVM, Logistic Regression, K-Nearest Neighbors Classifier, GaussianNB, Random Forest, XGBoost, DecisionTree Classifier, Ensembled Classifier, ExtraTrees Classifier, Voting Classifier

Differentiable relaxations of tree-based models.

AI 小项目代码、笔记

Nonlinear Regression Models

Score prediction in T20 cricket is based on CRR which is mostly inaccurate. This Machine Learning project considers various factors that can impact the score prediction and utilizes the available previous matches data to achieve a more accurate prediction. We have evaluated 6 different algorithms and found out that CatBoost gives the best results.

本项目专注于对推特上苹果产品评论的文本挖掘，包括文本预处理、使用深度学习进行情感分类以及主题分析。情感模型将推文分为正面、负面或中性，并对每个情感类别进行主题分析以识别关键主题。

ML model training pipeline for the main Spyware Detector project. Dynamically serves updated models via GitHub Releases. Includes Dockerized training, automated CI/CD, and versioned artifacts (~97% accuracy). Educational project - not for production use.