Info Edge Data Science Intern interview questions

They keep the entire process very conceptual, in and out of every topic is asked, be it Deep Learning, Machine Learning, Linear Algebra, Probability, Statistics, etc. Also, there is no DSA round, instead one ML coding round is present. In total there are 4 rounds of interview as follows: 1. Basic Technical Concepts (from almost all the topics) 2. ML Coding round 3. Technical Round (with senior data scientists) 4. HR Round

3 round interview with first round covering basic Supervised ML and basic DL after with a easy question on python programming and pandas . second round consisting of good programming skills of classical ML models and data cleaning and feature engineering and third round was a HR one.