Question 1 of 25
Hints left: 3
Q1
What is the purpose of cross-validation in machine learning?
Q2
What does the term 'hyperparameter' refer to in machine learning?
Q3
What is the purpose of SQL in data science?
Q4
What is the main purpose of exploratory data analysis (EDA)?
Q5
Which algorithm is used for classification problems in machine learning?
Q6
Which of the following is an example of supervised learning?
Q7
Which of the following is a common technique for dimensionality reduction?
Q8
Which of the following is a classification algorithm?
Q9
Which Python library is used for creating visualizations?
Q10
In Python, which library is used for data manipulation?
Q11
What does "overfitting" mean in machine learning?
Q12
Which algorithm is commonly used for clustering in unsupervised learning?
Q13
Which type of chart is best for visualizing the distribution of a single variable?
Q14
In Python, which library is used for numerical computing?
Q15
What type of data does categorical data represent?
Q16
What is the purpose of using regularization in machine learning models?
Q17
What is the primary goal of data cleaning in data science?
Q18
What is the main role of a data scientist in an organization?
Q19
What is the purpose of feature scaling in machine learning?
Q20
Which type of learning involves labeled data?
Q21
Which is a widely used technique to detect outliers in a dataset?
Q22
Which tool is commonly used for big data processing?
Q23
Which method is used to handle missing data in a dataset?
Q24
In which situation is a decision tree likely to overfit?
Q25
What does PCA stand for in data analysis?