Questions

1. What is the difference between feature engineering and feature selection?
2. What is the difference between principal component analysis (PCA) and feature selection?
3. How can we encode features like dates and hours?
4. Why it is useful to print out training and testing accuracy?
5. How can we deploy a machine learning model and use it in a product?
6. Why does feature engineering take much more time than other steps?
7. What is the role of a dummy variable?