Next on these interview questions for data analysts, we have to look at the trends regarding this domain. 42. What are the future trends in data analysis? With this question, the interviewer is trying to assess your grip on the subject and your knowledge in the field. Make sure to state...
Regarding the question of how to split the data into a training set and test set, there is no fixed rule, and the ratio can vary based on individual preferences. 4. How Do You Handle Missing or Corrupted Data in a Dataset? One of the easiest ways to handle missing or corrupted data...
the people i met were nice, very bright, and focused on their work. several of them complained to me about their frustrations that “google was so big and stuck in its ways”. i thought that was interesting. i declined because of the iffy-ness of a contractual job (though the cash wou...
Also, if you don't see a particular question on this list that you've been asked, or you know of one that's asked a lot, comment below. Top data science questions and answers for 2018: How would you approach a categorical feature with high-cardinality?
A method common to most people is cross-validation, splitting the data into two sets: training and testing data. See the answer to the first question for more on this.Q: What does NLP stand for?NLP stands for Natural Language Processing. It is a branch of Artificial Intelligence that ...
343 Open-ended question, target behavior neutral 33 0.76 344 Open-ended question, elicit barriers 38 0.87 After creating the codebooks, we pre-processed the dataset using the Snowball stemmer available as part of the Weka [30] machine learning toolkit.2 We observed that stopword removal decrease...