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Data Science Interview Questions
Questions Answers Views Company eMail

Discuss artificial neural networks

379

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

321

why do you need to perform resampling?

339

What is a random forest?

301

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

295

Discuss linear regression?

322

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

332

Differentiate between supervised and unsupervised learning?

299

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

328

Explain reinforcement learning.

293

What do you understand by l1 and l2 regularization methods?

303

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

325

What do you understand by clustering?

300

Differentiate between regression and classification algorithms?

319

Explain the decision tree algorithm?

387


Post New Data Science Questions

Un-Answered Questions { Data Science }

What is the common perception of visualization?

288


Explain cluster sampling technique in data science

399


What prior subject is required to become data analyst?

342


What do you understand by ensemble learning?

346


What are Principal components?

499


How do you do for loops in python and r?

359


What skills are required for data analytics roles?

371


Why is data cleaning essential in data science?

292


Explain k-mean?

307


Can you define a/b testing?

305


Explain about string parsing in R language

337


What is an outlier?

292


Now companies are heavily investing their money and time to make the dashboards. Why?

308


Can you use machine learning for time series analysis?

328


What is the difference between kmeans clustering and hierarchical clustering?

412