Startup Fundraising Probability Prediction Model

Develop a sophisticated machine learning model using Python that predicts the probability of a technology startup successfully raising venture capital. Integrate multiple data sources including Crunchbase, AngelList, and historical funding databases. Use advanced feature engineering to incorporate startup characteristics like founding team background, market segment, technology stack, and previous funding history. Create a probabilistic model with interpretable feature importance visualization.