imocha logo
Scikit-learn Online Test sample questions Scikit-learn Online Test sample questions

Scikit-learn Online Test

Topics covered

  • Preprocessing
  • Classification
  • Clustering
  • Dimensionality Reduction
  • Pipelining
  • Encoding
  • Text Handling
  • Data Cleaning
  • Model Selection
  • Missing Values
  • Imputations
  • Decision Tree
  • Hyper-Parameter Tuning
  • Data Manipulation
  • Test Duration: 20 minutes
  • No. of Questions: 10
You can customize this test by
  • difficulty level
    Setting difficulty level of test

    Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.

  • multiple skills
    Combining multiple skills into one test

    Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.

  • add your own questions
    Adding your own questions to the test

    Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more...

  • tailor-made test
    Requesting a tailor-made test

    Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.

Start hiring job-fit candidates using this assessment
Trusted by leading brands worldwide
Interview Mocha - Altran-logo
Interview Mocha - Capgemini-logo
Interview Mocha - Avaya-logo
Interview Mocha - Hexaware-logo
Interview Mocha - Neilsen-logo

“Our recruitment team loves Interview Mocha especially for their skill assessments, simulators, and friendly support.”

Christoph, e-Zest GmbH
Christoph, e-Zest GmbH

“We are very excited about the AI EnglishPro. Assessing Business English is always a challenge with simple grammar assessments and in-person interviews. We have been using the beta version of the business English proficiency test and are quite impressed with its ability to accurately evaluate the English proficiency skills using AI. We look forward to using it for all our future hires.”

Hexaware Technologies
Start inviting candidates in the next 2 minutes
Related Skills

About Scikit-learn Online Test

Scikit-learn is a type of free software machine learning library that is mainly used for the Python programming language and it also helps to provide a range of supervised and unsupervised learning algorithms via a consistent interface in Python. Scikit-learn library is licensed under a permissive simplified BSD license and is distributed under many Linux distributions, encouraging academic and commercial use.

Scikit-learn online test helps tech recruiters and hiring managers to assess candidates machine learning skills with Scikit-learn. Scikit-learn skills test is designed by experienced subject matter experts (SMEs) to evaluate and hire machine learning engineer as per the industry standards.

Scikit-learn online test helps to screen the candidates who possess traits as follows:
 

  • Good knowledge of Preprocessing, Classification, and Clustering in Scikit-learn
  • Experience in data cleaning and data manipulation processes
  • Understanding of Model Selection, Decision Tree, and Hyper-Parameter Tuning
  • Familiarity with terms like pipelining, encoding, and imputations
 
Scikit-learn skills test is a secure and reliable way of candidate assessment. You can use our role-based access control feature to restrict system access based on the roles of individual users within the recruiting team. Features like window violation, image, audio & video proctoring help detect cheating during the test.
 
This test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulators, True or False Questions, etc

This Scikit-learn Online Test is useful for hiring

  • Machine Learning Engineer
  • Data Scientist
  • Python Developer