The Data Science Intermediate Quiz is designed for learners who have foundational knowledge in data science and are looking to deepen their understanding. This quiz covers essential topics such as data manipulation, exploratory data analysis, machine learning algorithms

Data Science Intermediate Quiz 6

This quiz is designed for learners who have a basic understanding of data science concepts and are ready to explore more advanced topics. The questions focus on key areas such as machine learning algorithms, data analysis techniques, feature engineering, and model evaluation. You'll encounter concepts related to supervised and unsupervised learning, regression, classification, probability, statistics, and neural networks. This quiz helps test your knowledge of both theoretical aspects and practical applications in data science.

1 / 10

Which of the following is an ensemble learning method?

2 / 10

What does AUC stand for in machine learning evaluation?

3 / 10

Which of the following is a common loss function in classification problems?

4 / 10

In a linear regression model, the dependent variable is also called

5 / 10

Which of the following is a feature scaling technique?

6 / 10

Which of the following is not a measure of central tendency?

7 / 10

In machine learning, the KNN algorithm stands for:

8 / 10

Which of the following is true for supervised learning?

9 / 10

Which of the following is used to find correlations between variables?

10 / 10

Which of the following is a Python library for data manipulation and analysis?

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