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