Top 10 Data Science Interviews Questions and Expert Answers
Pickl AI
FEBRUARY 12, 2024
Here are some key areas often assessed: Programming Proficiency Candidates are often tested on their proficiency in languages such as Python, R, and SQL, with a focus on data manipulation, analysis, and visualization. Clustering algorithms such as K-means and hierarchical clustering are examples of unsupervised learning techniques.
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