Round 1: Theory (Conceptual and Analytical) Objective: Evaluate the candidate's understanding of AI/ML concepts, algorithms, and related domains. Model Implementation (40–60 minutes): Ask the candidate to train a machine learning model on a dataset. Dataset: Iris dataset, Titanic dataset, or any standard dataset.