Analytics Insight

Data Science Tools Every Beginner Should Know

Python, SQL, and Pandas form the foundation of modern data science.Hands-on practice with Kaggle and Google Colab strengthens practical skills.Vi ...

IIT Delhi opens admissions for online applied AI, ML and decision science course 2026

IIT Delhi has announced admissions for its Applied AI, ML and Decision Science Programme, an eight-month online certification course beginning September 19, 2026. Offered through eVIDYA with Emeritus, ...
Visual Studio Magazine

Random Forest Regression Using C#

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
Frontiers

Advancing standardized cattle behavior classification with a random forest model evaluated across diverse datasets

The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...
IEEE

Random Forest Regression Model with Expectile-Based Learning for Commodity Price Data Prediction

Abstract: Predicting volatile commodity prices is challenging due to frequent outliers, which compromise traditional models like Random Forest (RF) that rely on Mean ...
Scientific Research Publishing

Li, R.X. (2025) Research on Reliability Prediction and Dynamic Maintenance Optimization of Rolling Bearing Based on Random Forest. Master’s Thesis, Changchun University of ...

ABSTRACT: With the accelerating pace of urbanization, the issue of air pollution has become increasingly severe. Notably, carbon monoxide (CO), as a prevalent harmful gas, poses potential threats to ...
Scientific Research Publishing

He, S., Wu, J., Wang, D., & He, X. (2022). Predictive Modeling of Groundwater Nitrate Pollution and Evaluating Its Main Impact Factors Using Random Forest. Chemosphere, 290 ...

ABSTRACT: An integrated model approaching to combining the BETR-GLOBAL model with a Random Forest method was developed in this research. Firstly, the BETR-GLOBAL model was employed to simulate the ...
IEEE

Factor Screening for Equivalence Ratio Measurement Modeling: A Hybrid Approach Integrating Random Forest Algorithm and Support Vector Regression

Abstract: Measuring the equivalence ratio using flame spectral data is a key focus in combustion diagnostic techniques. Traditional methods rely on chemiluminescent bands with distinct spectral ...