imocha logo
ML Engineer with Python Test sample questions ML Engineer with Python Test sample questions

ML Engineer with Python Test

Topics covered

  • Classification and Regression Algorithms: The machine learning coding test evaluates the candidate's understanding and the use of  Classification and Regression Algorithms
  • Bootstrapping: Machine test for Python evaluates candidate's knowledge of Bootstrapping to avoid overfitting and improves the stability of the machine learning algorithm
  • Types of Machine Learning: The test contains questions on types of Machine learning to measure candidate's in-depth understanding of ML
  • Data Cleaning: Machine Learning coding test assesses a candidate's knowledge of preparing data for analysis by removing or modifying data that is incorrect
  • incomplete
  • irrelevant
  • duplicated
  • or improperly formatted
  • Scikit-learn: The tech assessment evaluates candidates based on their knowledge of the Scikit-learn library which contains a lot of efficient tools for machine learning and statistical modeling including classification
  • regression
  • clustering
  • and dimensionality reduction
  • Machine Learning Coding: The Machine test for Python gauges a candidate's knowledge on interdisciplinary field of research related to Natural Language Processing
  • Programming Language Structure
  • and Social and History analysis such contributions graphs and commit time series
  • Test Duration: 60 minutes
  • No. of Questions: 22
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

“The best part of Interview Mocha is they have topic wise questions available. So if there is a need to evaluate Java or .Net skills of the employees, you can create specific assessments which will accurately measure their knowledge in that skill.”

Cheryl Tolkinen, Learning & Development Manager, Securian, USA

“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 ML Engineer with Python Test

Machine learning with Python is a type of data science technique in which programmers work with machine learning algorithms to put data into effective work. Machine Learning with Python mainly focuses on the development of various computer programs that can help the programmer to change it when exposed to new data.

The machine learning coding test helps recruiters & hiring managers to assess candidates’ Python programming skills for machine learning. Machine test for Python is designed by experienced Subject Matter Experts (SME) to evaluate and hire machine learning engineer as per the industry standards.

Machine learning coding test helps to screen the candidates who possess traits as follows: 
  • Ability to write code with Python libraries that support machine learning algorithms
  • Knowledge of supervised learning, unsupervised learning, and reinforcement learning
  • Understanding concepts like NumPy with Python, machine learning with SciKit Learn, linear regression, K Nearest Neighbors, K Means clustering, decision trees, random forests, support vector machines
  • Excellent experience in Natural Language Processing, Neural Networks, and Deep Learning
Machine test for Python for machine learning with python contains a coding simulator that will automatically evaluate and provide a score for the candidate’s written codes by compiling multiple test cases that generate discrete output. You will also get a detailed report for each test case execution along with execution time and execution memory usage for the program written by the candidate. The Code-Replay feature records the coding screen of the candidate so that the reviewer can understand the coding and thinking patterns of the candidate.

This Machine Learning coding test may contain coding questions and innovative AI-LogicBox (pseudo coding platform) questions to assess a candidate's coding skills in a fun & quick way.

This ML Engineer with Python Test is useful for hiring

  • Data Scientists
  • Data Science Engineer
  • Data Science Developer
  • Data Science Associate
  • Data Analyst
  • Machine Learning Engineer