About the Journal

The International Journal of Machine Learning and Predictive Analytics (IJMLPA) focuses on publishing advanced studies and innovative applications of machine learning models, predictive analytics systems, and intelligent data-driven technologies.

Focus and Scope

IJMLPA includes areas such as:

• Supervised, semi-supervised, and unsupervised learning
• Deep learning architectures and neural networks
• Predictive modelling and statistical learning
• Reinforcement learning and AI decision frameworks
• Time-series forecasting and real-time analytics
• Optimization algorithms and computational intelligence
• Data preprocessing, feature engineering, and model validation
• ML applications in healthcare, finance, and industry
• Explainable AI (XAI) and interpretable models
• ML-driven automation and decision support systems