This quiz is designed for individuals with foundational knowledge of Data Science who are looking to test and expand their skills. It focuses on key topics such as Python programming, data analysis, machine learning, statistics, and essential concepts in artificial intelligence. The quiz consists of multiple-choice questions that cover both theoretical concepts and practical applications.

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Thank you for participating in the Intermediate Level Data Science Quiz.


Data Science Intermediate Quiz 4

This quiz is designed for individuals with foundational knowledge of Data Science who are looking to test and expand their skills. It focuses on key topics such as Python programming, data analysis, machine learning, statistics, and essential concepts in artificial intelligence. The quiz consists of multiple-choice questions that cover both theoretical concepts and practical applications.

1 / 10

The process of using a model on unseen data to evaluate its performance is called:

2 / 10

Which of the following is used for feature selection in machine learning?

3 / 10

Which of the following is a key concept in Natural Language Processing (NLP)?

4 / 10

Which library is commonly used for visualizing data in Python?

5 / 10

Which technique is used to reduce the dimensionality of data?

6 / 10

What is the purpose of a confusion matrix?

7 / 10

Which of the following is a distance metric used in clustering algorithms?

8 / 10

Which of the following techniques is used to avoid overfitting in models?

9 / 10

In the context of probability distributions, which of the following is true for a normal distribution?

10 / 10

Which of the following activation functions is used in neural networks?

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