Jupyter Pair Programming on Messy Classification Data

Task Requirements Begin with a deliberately untidy dataset containing missing entries, inconsistent representations, and columns with mixed data types. Build a complete classification workflow: import the data, clean it, create train/test splits, fit a model, and assess its performance. The interviewer will ask about your decisions while you work, so explain your reasoning and respond to clarifications as they arise. You have 60 minutes, and the timer begins when you start…