IEEE

Toward Transparent Reinforcement Learning: An Explainable Deep Q-Learning Framework for Sequential Decision-Making

Reinforcement learning (RL) has demonstrated remarkable promise in sequential decision-making tasks; however, its explainability issues continue to hinder high-stakes domains that demand regulatory ...
IEEE

Predictive Modeling of Employee Attrition Using Tree-Based Machine Learning Classifiers

Abstract: Employee attrition poses considerable challenges for organizations by affecting productivity and increasing recruitment costs. This study employs tree-based machine learning classifiers to ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
GitHub

A Python-based Decision-Focused Learning Toolbox

Weights & Biases is a helpful tool to analyze experiments, while Optuna is an effective tool for hyperparameter tuning. To use either of these tools, make sure to check out the notebooks in the ...