Feature Engineering

Requirements Clarification & Assessment

To effectively address the interview question on feature engineering, it's essential to clarify and assess the requirements. Here's how you can approach this:

1. Understand the Question:

   • Define feature engineering in the context of machine learning.
   • Identify the objectives and goals that feature engineering serves in model development.

2. Contextual Understanding:

   • Determine the interviewer's focus — whether they are interested in the technical processes, the strategic importance, or both.
   • Consider if the question is geared towards practical implementation or theoretical understanding.

3. Depth of Explanation:

   • Assess the depth required in your answer — whether a high-level overview suffices or a detailed breakdown of techniques and examples is necessary.

4. Relevance to Role:

   • Align your explanation with the specific role you are applying for, focusing on aspects of feature engineering that are most relevant to the position.