ML Engineer with Python Test

About ML Engineer with Python Test

Machine learning with Python is a type of data science technique in which programmer 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. 

Machine learning with Python test helps recruiters & hiring managers to assess candidate’s Python programming skills for machine learning. Coding test for machine learning with python is designed by experienced subject matter experts (SMEs) to evaluate and hire machine learning engineer as per the industry standards.
 
 
Machine learning with Python 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

 
 
Coding test for machine learning with python contains a coding simulator which 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 test may contain coding questions and innovative LogicBox (an AI-based pseudo coding platform) questions to assess a candidate's coding skills in a fun & quick way.