Discover the top Data Science Interview Questions and answers from beginners to advanced, curated to get your first or next level Data Scientist job.
Data Science interview questions and answers for 2024 on topics ranging from probability, statistics, data science – to help crack data science job interviews.
Whether you work in machine learning, statistics or data mining, decision trees are a useful tool for modeling the relationships between different variables. Like the previous question, this one tests both your knowledge and your ability to convey information concisely and with confidence. SAMPLE ANS...
Semi-structured data is a type of data which has contained the data of both types i.e., structured data and semi-structured data. Discuss this Question 5. What is the difference between BI (Business intelligence) and Data science?
In data science, you analyzedatasets. Datasets consists ofcases, which are the entities you analyze. Cases are described by theirvariables, which represent the attributes of the entities. The first important question you need to answer when you start a data science project is what exactly is ...
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 forNatural Language Processing. It is a branch of artificial intelligence that give...
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?
However these questions were lacking answers, so KDnuggets Editors got together and wrote the answers. Here is part 2 of the answers, starting with a "bonus" question. Bonus Question: Explain what is overfitting and how would you control for it This question was not part of the original ...
Hypothesis testing is the basis of any research question and often comes down to trying to prove something did not happen by chance. For example, you could try to prove when rolling a dye, one number was more likely to come up than the rest. ...
A repo for data science related questions and answers - GitHub - WorldHellow/data-science-question-answer: A repo for data science related questions and answers