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

Differentiate between data modeling and database design?

329

What are the types of business decisions?

339

What are the different deep learning frameworks?

355

How do you understand by bias variance trade off?

334

How will you impute missing information in a dataset?

347

Is anaconda free?

337

Among python and r, which one is generally preferred for text analytics?

345

What is logistic regression in data science?

459

Differentiate between skewed and uniform distribution?

362

In any 15-minute interval, there is a 20% probability that you will see at least one shooting star. What is the proba­bility that you see at least one shooting star in the period of an hour?

488

Can you explain data cleansing?

326

What is churn? How would it help predict and control churn for a customer?

364

What is the importance of data cleaning in analysis?

319

How to check the frequency distribution of a categorical variable?

359