What do you understand by normal distribution?
Explain root cause analysis?
How will you decide whether a customer will buy a product today or not given the income of the customer, location where the customer lives, profession and gender? Define a machine learning algorithm for this.
What is missing value imputation? How do you handle missing values in python or r?
Count the total number of trees in United States.
Explain how to define the number of clusters in a clustering algorithm?
Is jupyter open source?
During analysis, how do you treat missing values?
What do you understand by parametric and non-parametric methods? Explain with examples.
How does data cleaning plays a vital role in analysis?
What laptop should I buy for data science?
Can you provide examples for other computations in spark?
Burn two ropes, one needs 60 minutes of time to burn and the other needs 30 minutes of time. How will you achieve this in 45 minutes of time ?
A box has 12 red cards and 12 black cards. Another box has 24 red cards and 24 black cards. You want to draw two cards at random from one of the two boxes, which box has a higher probability of getting cards of same colour and why?
List the variants of backpropagation?