1. Live coding: basic dataframe operations, regression model fitting, handling class imbalance in SVM (basic) 2. Resume Based: Basics of ML, ML Ops, OOPS 3. Technical Round 1: Resume based, very detailed questions on projects, simple case study (problem formulation and brain storming) 4. Technical Round 2: Basics of ML Algorithms, Technical workings of them 5. Case Study: Forecast demand for sales of a product for a national company with stores in different location (store level forecast) 6. Simple ML questions, 5 min case study
