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Data Science Interview Questions
Questions Answers Views Company eMail

Discuss artificial neural networks

389

Is it possible to capture the correlation between continuous and categorical variable?

333

why do you need to perform resampling?

351

What is a random forest?

312

How to determine the number of clusters in k-means clustering algorithm?

303

Discuss linear regression?

332

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

344

Differentiate between supervised and unsupervised learning?

314

What do you understand by bias, variance trade-off?

333

Explain reinforcement learning.

305

What do you understand by l1 and l2 regularization methods?

322

What are the differences between data science, machine learning, and artificial intelligence?

340

What do you understand by clustering?

308

Differentiate between regression and classification algorithms?

330

Explain the decision tree algorithm?

408


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Un-Answered Questions { Data Science }

You are given two tables- friend_request and request_accepted. Friend_request contains requester_id, time and sent_to_id and request_accepted table contains time, acceptor_id and requestor_id. How will you determine the overall acceptance rate of requests?

350


Define a sql query? How do you use sql in sas, python, r languages?

402


Pycharm has a debugger?

485


What does _init_.py do?

423


What do you mean by the term linear regression?

341


Please explain gradient descent?

344


What is the return type of the function ID?

339


Explain eigenvalue and eigenvector

333


How do you overcome challenges to your findings?

361


Name three disadvantages of using a linear model?

391


Why are generators used in Python?

398


What will be the output of runif (7)?

324


What are the steps involved in analytics projects?

324


What skills are required for data analytics roles?

385


What are distance measures in R statistics?

401