Question 1 of 25
Hints left: 3
Q1
Which library is used for creating interactive visualizations in Python?
Q2
Which technique is commonly used to evaluate model performance in imbalanced datasets?
Q3
What is the primary difference between RNNs and CNNs?
Q4
Which of the following techniques is used for dimensionality reduction?
Q5
What is the main advantage of using a decision tree?
Q6
Which machine learning algorithm is used to predict continuous outcomes?
Q7
Which of the following metrics is commonly used to evaluate classification models?
Q8
What is the difference between classification and regression tasks in machine learning?
Q9
Which of the following is a supervised machine learning technique?
Q10
In deep learning, what is the role of an activation function?
Q11
Which optimization technique is widely used in training deep learning models?
Q12
Which technique is used for text classification problems?
Q13
What type of learning involves labeled data?
Q14
What is the main advantage of using a random forest over a decision tree?
Q15
What is the key concept of ensemble learning?
Q16
What is the goal of reinforcement learning?
Q17
What does a confusion matrix show in classification problems?
Q18
Which is a typical deep learning framework used in Python?
Q19
In clustering, what is the purpose of the 'elbow method'?
Q20
In data science, what does 'EDA' stand for?
Q21
Which metric is used to evaluate the performance of a regression model?
Q22
In data analysis, what does the term 'feature engineering' refer to?
Q23
Which neural network architecture is primarily used for image recognition?
Q24
What does 'bias' represent in machine learning models?
Q25
What is the purpose of hyperparameter tuning in machine learning?