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