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Data Science Interview Questions
Questions Answers Views Company eMail

What is the difference between supervised and unsupervised methods?

 210

What is a z test, chi square test, f test and t test?

 205

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

 186

What are the various classification algorithms?

 200

What is data science? Also, list the differences between supervised and unsupervised learning.

 185

A certain couple tells you that they have two children, at least one of which is a girl. What is the probability that they have two girls?

 286

List the differences between supervised and unsupervised learning.

 218

How does data cleaning plays a vital role in analysis?

 276

What is back propagation and explain it’s working.

 201

What is the role of activation function?

 249

Explain the structure of artificial neural networks?

 230

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

 193

In any 15-minute interval, there is a 20% probability that you will see at least one shooting star. What is the proba­bility that you see at least one shooting star in the period of an hour?

 332

How can you generate a random number between 1 – 7 with only a die?

 382

What is the difference between “long” and “wide” format data?

 210

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Un-Answered Questions { Data Science }

Can you explain collaborative filtering?

233

What are Random Forests?

210

Which plot will you use to access the uncertainty of a statistic?

189

Name three disadvantages of using a linear model?

193

Explain the differences between univariate, bivariate and multivariate analysis?

183

What will be your expected earnings with the two roll strategy?

351

What are the types of biases that can occur during sampling?

200

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

205

Anaconda is a wikipedia programming language?

177

Explain data wrangling?

202

What is meant by feature vectors?

190

What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression?

166

What are essential skills and training needed in data Science?

220

What is market basket analysis? How would you do it in r and python?

192

How would you do market basket analysis in r and python?

204

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