Statistical and Probabilistic Reasoning Explain the difference between correlation and causation. This question assesses your understanding of fundamental statistical concepts and your ability to apply them in data analysis. Machine Learning How do you handle imbalanced datasets? This question tests your knowledge of common challenges in machine learning and your approach to addressing them. Data Munging and Exploration You have a large dataset with missing values. How do you handle them? This question evaluates your data preprocessing skills and ability to deal with real-world data imperfections. Model Evaluation Explain the difference between precision, recall, and F1-score. This question tests your understanding of key performance metrics and when to use them. Business Understanding and Problem Solving How would you approach a problem where you need to predict customer churn? This question assesses your ability to apply data science to a real-world business problem and develop a solution strategy.

Sorting algorithms, working of ML models like Random Forest. Difference between bagging and boosting. What are activation functions?