Question 1
Which visualization techniques are used to evaluate model performance?
Question 2
What is the main purpose of the online celebrity prediction system discussed in the class?
Question 3
What statistical metrics are considered while handling missing values?
Question 4
Which tool is mentioned for developing and testing predictive models?
Question 5
How does normalization help in the context discussed?
Question 6
What is the use of logistic regression in the context discussed?
Question 7
What method is used to handle missing data in the dataset?
Question 8
Which of the following is a characteristic of supervised learning?
Question 9
What Python libraries are commonly used for data handling and preprocessing?
Question 10
For which purpose is Twitter trend data used in the project?
Question 11
What is a significant advantage of using Anaconda Jupyter Notebook?
Question 12
Why is it essential to avoid application form errors in data handling?
Question 13
What kind of data does unsupervised learning handle?
Question 14
What is encouraged for continuous improvement of prediction models?
Question 15
Which process is critical before developing predictive models?