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Data Science Interview Questions
Questions Answers Views Company eMail

what is bias?

311

When underfitting occurs in a static model?

344

What is normal distribution

295

Which language is best for text analytics? R or python?

280

What is logistic regression in data science?

395

Name three disadvantages of using a linear model?

326

Explain p-value?

320

What is reinforcement learning?

277

Explain the term binomial probability formula?

273

When do you need to update the algorithm in data science?

280

Discuss 'naive' in a naive bayes algorithm?

297

Explain collaborative filtering

357

Define the term deep learning?

285

Explain the difference between data science and data analytics?

308

Explain the benefits of using statistics by data scientists

294


Post New Data Science Questions

Un-Answered Questions { Data Science }

Can you provide examples for other computations in spark?

224


How can you compute an inverse matrix faster by playing with some computation tricks?

286


Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.

296


How to install the ggplot2 package?

380


Why do you need a for loop?

279


How can you iterate over a list and also retrieve element indices at the same time?

294


How have you overcome a barrier to finding a solution?

253


What is the role of activation function?

443


How to check the frequency distribution of a categorical variable?

322


Explain the difference between data science and data analytics?

308


Write the code to reverse a Linked list.

365


How does data cleaning plays a vital role in the analysis?

341


Which is the best suitable language among python and r for text analytics?

295


Pick up a coin C1 given C1+C2 with probability of trials p (h1) =.7, p (h2) =.6 and doing 10 trials. And what is the probability that the given coin you picked is C1 given you have 7 heads and 3 tails?

301


What is selection bias and why does it matter?

288