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.
