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Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

Machine Learning Algorithms Candidates should demonstrate proficiency in a variety of Machine Learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. However, there are a few fundamental principles that remain the same throughout.

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Introduction to R Programming For Data Science

Pickl AI

This interactivity promotes exploratory data analysis and iterative development, making it suitable for data scientists and analysts. · Graphics and Data Visualization: R has robust capabilities for creating high-quality graphics and visualizations.