News

GitHub1y
Dynamic-Pricing-Prediction-for-Cabs-using-Machine-Learning-Algorithms
Dynamic-Pricing-Prediction-for-Cabs-using-Machine-Learning-Algorithms This repository contains the code and resources for a dynamic price prediction model for cab services. The project aims to predict ...
GitHub1y
Crop-Yield-Prediction-using-Machine-Learning-Algorithms
The algorithm can be trained using a subset of the data and evaluated using another subset to measure its performance. The final step is to deploy the model and make predictions on new data. This can ...
IEEE2mon
An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach
This work proposes an efficient authentic method called assemble-stacking based crime prediction method (SBCPM) based on SVM algorithms for identifying the appropriate predictions of crime by ...
IEEE1y
Using Machine Learning Algorithms for Coronary Artery Disease (CAD) Prediction Prediction of Coronary Artery Disease (CAD) Using Machine Learning Algorithms
Coronary Artery Disease (CAD) is one of the main causes of mortality across the world. It is crucial to detect the disease at its earliest phase so as to lower the risk of death. A definitive ...
Scientific Research Publishing2y
Heart Disease Prediction Using Machine Learning Algorithms with Self-Measurable Physical Condition Indicators - Scientific Research Publishing
Heart Disease Prediction Using Machine Learning Algorithms with Self-Measurable Physical Condition Indicators () Huating Sun 1, Jianan Pan 2 1 Department of Geography, University of Washington, ...
Frontiers4mon
Improved prediction of soil shear strength using machine learning algorithms: interpretability analysis using SHapley Additive exPlanations - Frontiers
Therefore, these four well-known machine learning algorithms—XGBoost, GB, AdaBoost, and CatBoost—have been chosen for modeling in this study. Furthermore, selected a research topic “the prediction of ...
Devdiscourse1d
Machine learning boosts solar radiation forecasting for Amazonian agriculture
Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...