Machine Learning Feature Usage Prediction Model

Develop a predictive analytics model using TensorFlow.js that forecasts which software development features are most likely to be adopted by users based on their interaction history. Create a machine learning pipeline that processes user telemetry data, generates feature importance scores, and provides real-time recommendations for product roadmap prioritization. Include robust data cleaning and normalization techniques specific to developer tool interactions.