Data Science Interview Questions
Questions Answers Views Company eMail

What do you mean by p-value?

162

What is the 80/20 rule?

180

How decision tree algorithm is different from the random forest algorithm?

196

What is the roc curve?

183

What is the aim of a/b testing?

143

Define naive bayes?

157

How is data science different from data analytics?

187

What is the 80/20 rule? Explain its importance in model validation?

168

Explain box cox transformation?

230

Explain the decision tree algorithm, and how is it different from the random forest algorithm?

171

What is the svm algorithm?

191

Explain the importance of 80/20 rule in model validation?

191

Explain the term "data warehouse".

158

What do you understand by ensemble learning?

178

What do you understand by confusion matrix?

173


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Un-Answered Questions { Data Science }

What do you mean by the term linear regression?

180


How are confidence intervals constructed and how will you interpret them?

175


You have two sorted array of integers, write a program to find a number from each array such that the sum of the two numbers is closest to an integer i.

194


What is term Pearson’s Correlation Coefficient?

204


Name commonly used algorithms.

197


State the difference between a validation set and a test set?

179


What packages are used for data mining in python and r?

176


What is a data science job?

235


Is macbook good for data science?

171


What is a jupyter notebook?

207


How do you work towards a random forest?

153


Describe the data analysis process.

179


What are Type 1 and Type 2 errors ?

175


How will you handle missing data ?

215


What is interpolation and extrapolation?

185