Related InterviewSolutions

• How is the grid search parameter different from the random search tuning strategy?
• What is the importance of dimensionality reduction?
• How do you identify if a coin is biased?
• How is feature selection performed using the regularization method?
• What are various assumptions used in linear regression? What would happen if they are violated?
• Is it good to do dimensionality reduction before fitting a Support Vector Model?
• Give one example where both false positives and false negatives are important equally?
• What are some examples when false positive has proven important than false negative?
• Toss the selected coin 10 times from a jar of 1000 coins. Out of 1000 coins, 999 coins are fair and 1 coin is double-headed, assume that you see 10 heads. Estimate the probability of getting a head in the next coin toss.
• Consider a case where you know the probability of finding at least one shooting star in a 15-minute interval is 30%. Evaluate the probability of finding at least one shooting star in a one-hour duration?