Popular GitHub Repositories for Randomforest

A Unified Framework for Random Forest Prediction Error Estimation

Lung Cancer Prediction using Machine Learning Algorithms

Plot tree based machine learning models

Fraud detection using lgb, catboost, rf, etc

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.

Nonlinear Regression Models

AI 小项目代码、笔记

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.

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.