Walmart Senior Data Scientist interview questions

1. Live coding: a. Create a list of 10 consecutive integers between 0 and 10 - Python b. based on the above list, print out odd numbers - Python c. Given a list of stores and products, derive a store-product summary table containing fraction of products for each store. (SQL) 2. Diff between supervised, unsupervised, reinforcement learning 3. What does p, d, q mean in Arima time series model? 4. If you have weekly sales and want to predict future sales, which time series models are you going to use? 5. how to deal with overfit 6. how to deal with outliers, any model to detect it 7. what is PCA 8. what is R squared, diff between r squared and adjusted r squared 9. what can you do to overcome multicollinearity 10. what is regularization, difference between Lasso and Ridge 11. How to deal with unbalanced binary classification 12. what you should do if a time series model is stationary