Predicting sustainability in planning and monitoring African projects -SVM, Naive Bayes and XGBOOST Machine learning approach

KLASIFIKASI MORTALITAS PENYAKIT JANTUNG ATEROSKLEROSIS MENGGUNAKAN ALGORITMA NAIVE BAYES, ADABOOST, DAN XGBOOST

Penyakit kardiovaskular, khususnya aterosklerosis, merupakan penyebab utama kematian global dengan m

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting

Introduction Food price volatility continues to be a significant concern in Ke

Early Detection of Hypertension in Ghana using Machine Learning Models: Decision Tree, Random Forest, GBDT, SVM, Naive Bayes Stephen Turkson (ORCID:0000-0001-7434-5587 -Machine learning and Deep learning Researcher-KNUST) Patience Aboagyewaa (Industrial Finance and Investment Analyst -KNUST)

rebiraolin/amharic-naive-bayes

# Naive Bayes from First Principles: Amharic News Topic Classification A **from-scratch Multinomial

Predicting Food Price Trends in Nigeria Using Advanced Machine Learning Techniques: LSTM and XGBoost

Food price volatility poses significant challenges to food security, poverty reduction, and economic

Hypertension Prediction System Using Naive Bayes Classifier

International audience Hypertension is an illness that often leads to severe and life