SimpleImputer — Python Technical Interview Questions & Answers

SimpleImputer

SimpleImputer

  • SimpleImputer is a specialised library. Say what job it does in one line, then one tiny call you would write. Don’t fake a full ML pipeline on a fresher page.
  • SimpleImputer: PyTorch = tensors/models. OpenCV = images. SimpleImputer = fill missing numbers. Folium = maps. Spark/MLlib = big data. nsetools = market quotes. Grid search = try hyper-parameters. scraping = fetch HTML then parse.
  • Viva for SimpleImputer: purpose + one function name + one caution (API keys, missing values, robots.txt).
  • Output: [90, 85.0, 80]. Mean fill for missing — SimpleImputer does that.

Technical Interview Tip: What it does + one API name + one caution.

Code Examples for SimpleImputer

Example

# SimpleImputer
marks = [90, None, 80]
fill = sum(m for m in marks if m is not None) / 2
print([fill if m is None else m for m in marks])

Output: [90, 85.0, 80]. Mean fill for missing — SimpleImputer does that.

How to Explain SimpleImputer to an Interviewer

Explain SimpleImputer as if you are teaching a junior — definition, then one tiny script.

SimpleImputer — one job, one library. SimpleImputer — purpose + one call.

What does the example print, and why?

[90, 85

What mistake do freshers make with SimpleImputer?

SimpleImputer — copying a huge notebook without explaining one line.