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Data Science Interview Questions
Questions Answers Views Company eMail

Discuss artificial neural networks

336

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

299

why do you need to perform resampling?

303

What is a random forest?

264

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

266

Discuss linear regression?

290

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

299

Differentiate between supervised and unsupervised learning?

258

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

282

Explain reinforcement learning.

253

What do you understand by l1 and l2 regularization methods?

280

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

289

What do you understand by clustering?

267

Differentiate between regression and classification algorithms?

292

Explain the decision tree algorithm?

334


Post New Data Science Questions

Un-Answered Questions { Data Science }

Which package is used to do data import in r and python?

295


How can I become a data scientist?

313


What are applications of ggplot2?

338


What is logistic and linear regression? Name some packages in r and python for building regression models.

297


Explain how can you assess a good logistic model?

271


How will you decide which version (Version 1 or Version 2) of the Surge Pricing Algorithms is working better for Uber ?

335


What is a/b testing in data science?

318


Describe some assumptions considered important for linear regression?

270


How do I open the terminal in pycharm?

363


Can you define data discretization?

232


Why do we need generators in Python?

394


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

278


Explain the term binomial probability formula?

279


Why do you need a for loop?

284


How to create survival object in R?

510