How will you impute missing information in a dataset?

0 Answers   Airbnb,

---

You have been given the data on Facebook user's friending or defriending each other. How will you determine whether a given pair of Facebook users are friends or not?

0 Answers   Facebook,

---

What is the difference between data science, machine learning and artificial intelligence?

0 Answers  

---

How can you deal with different types of seasonality in time series modelling?

0 Answers  

---

Suppose that American Express has 1 million card members along with their transaction details. They also have 10,000 restaurants and 1000 food coupons. Suggest a method which can be used to pass the food coupons to users given that some users have already received the food coupons so far.

0 Answers   American Express,

---

What is the common perception of visualization?

0 Answers  

---

How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.

0 Answers  

---

You are given a training dataset of users that contain their demographic details, the pages on Facebook they have liked so far and results of psychology test based on their personality i.e. their openness to like FB pages or not. How will you predict the age, gender and other demographics of unseen data?

0 Answers   American Express,

---

Define data reduction?

0 Answers  

---

What is the job description for a data scientist?

0 Answers  

---

What is an outlier?

0 Answers  

---

A test has a true positive rate of 100% and false positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?

0 Answers  

---