How will you impute missing information in a dataset?
No Answer is Posted For this Question
Be the First to Post Answer
Differentiate between supervised and unsupervised learning?
What is underfitting?
How decision tree algorithm is different from the random forest algorithm?
What do you understand by bias, variance trade-off?
What is the difference between skewed and uniform distribution?
What is meant by lattice graphs?
Explain about the various time series forecasting technqiues.
What approach will you follow to develop the love,like, sad feature on Facebook?
What is missing value imputation?
What is churn? How would it help predict and control churn for a customer?
Why is Python used in data science?
You are about to get on a plane to Seattle, you want to know whether you have to bring an umbrella or not. You call three of your random friends and as each one of them if it's raining. The probability that your friend is telling the truth is 2/3 and the probability that they are playing a prank on you by lying is 1/3. If all 3 of them tell that it is raining, then what is the probability that it is actually raining in Seattle.