I need assistance from a machine learning expert to develop a predictive model for identifying the likelihood of a cryptocurrency being classified as a 'live' coin or a 'deadcoin.' The foundation of the model will be historical data that I have specifically related to trading volumes and market capitalization, formatted in CSV or Excel files. While I possess partially labeled data indicating which coins are live or dead, the model should be capable of working effectively with this dataset to generate reliable predictions. The end goal is to provide inputs consisting of historical cryptocurrency data and obtain a prediction on whether the coin will stay live or eventually become a deadcoin. If this aligns with your expertise, I'd love to hear your approach to tackling this project.