Revolutionizing Retail: A Hybrid Machine Learning Approach for Precision Demand Forecasting and Strategic Decision-Making in Global Commerce
A thorough comparison of several machine learning methods is provided in this paper,
including gradient boosting, AdaBoost, Random Forest (RF), XGBoost, Artificial Neural …
including gradient boosting, AdaBoost, Random Forest (RF), XGBoost, Artificial Neural …
Unleashing Deep Learning: Transforming E-commerce Profit Prediction with CNNs
This research examines the potential of Convolutional Neural Networks (CNNs), including
VGG16, ResNet50, and InceptionV3, in predicting ecommerce profits. Emphasizing the …
VGG16, ResNet50, and InceptionV3, in predicting ecommerce profits. Emphasizing the …
Improving Cardiovascular Disease Prediction through Comparative Analysis of Machine Learning Models
Cardiovascular diseases, including myocardial infarction, present significant challenges in
modern healthcare, necessitating accurate prediction models for early intervention. This …
modern healthcare, necessitating accurate prediction models for early intervention. This …
Machine Learning Models for Predicting Corticosteroid Therapy Necessity in COVID-19 Patients: A Comparative Study
This study analyzes machine learning algorithms to predict the need for corticosteroid (CS)
therapy in COVID-19 patients based on initial assessments. Using data from 1861 COVID …
therapy in COVID-19 patients based on initial assessments. Using data from 1861 COVID …