About Scikit-Learn Test
Scikit-learn (Sklearn) is the most useful and robust library for machine learning in Python. It provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering, and dimensionality reduction via a consistency interface in Python.
This Scikit learn test looks at candidates’ understanding and abilities in Classification, Clustering, Regression, Model selection, and Preprocessing
Skills Measured
- Classification
- Regression
- Clustering
- Model Selection
- Preprocessing
Roles
- Data Scientist Developer
- Research Scientist
- Data Scientist
- Machine Learning Engineer
The test is created by a subject-matter expert
Testlify’s skill tests are designed by experienced SMEs (subject matter experts). We evaluate these experts based on specific metrics such as expertise, capability, and their market reputation. Prior to being published, each skill test is peer-reviewed by other experts and then calibrated based on insights derived from a significant number of test-takers who are well-versed in that skill area. Our inherent feedback systems and built-in algorithms enable our SMEs to refine our tests continually.
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