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Data Science Interview Questions
Questions Answers Views Company eMail

How can I achieve accuracy in the first model that I built?

310

What do you mean by word data science?

407

What are the differences between overfitting and underfitting?

427

What is bias – variance tradeoff?

318

What is cluster sampling?

424

Explain the difference between overfitting and underfitting?

375

What is k-means?

340

Define some key performance indicators for the product

297

What is k-means? How can you select k for k-means?

341

What do you understand by term hash table collisions?

315

What are the variants of back propagation?

354

How has your prior experience prepared you for a role in data science?

314

What is systematic sampling?

329

How to understand the problems faced during data analysis?

339

How is data modeling different from database design?

313


Post New Data Science Questions

Un-Answered Questions { Data Science }

Can you explain collaborative filtering?

457


Explain difference between binomial and Poisson distribution?

340


What is data scientist?

355


Pycharm has a debugger?

481


What do you understand by Linear Regression in R?

605


Name some kinds of graphs and explain how you would build them in python or r.

314


What is the job of analytics?

362


You created a predictive model of a quantitative outcome variable using multiple regressions. What are the steps you would follow to validate the model?

344


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?

343


Can you explain the difference between a validation set and a test set?

318


How can you decide if one algorithm is better than the other?

447


what is bias?

357


What are essential skills and training needed in data Science?

351


Which laptop is best for data analysis?

357


Define the term deep learning?

335