Adaptive Learning Path Generator with Skill Gap Analysis

Design a Python-based adaptive learning recommendation system that uses machine learning algorithms to assess individual skill gaps and dynamically generate personalized learning paths. The system should integrate multiple data sources including previous assessment scores, learning history, and skill taxonomies. Implement a predictive model that can suggest precise learning interventions, track progress, and automatically adjust curriculum complexity using scikit-learn and pandas.