Can you define power analysis?

111

---

How do you treat missing values during analysis?

97

---

Can you explain collaborative filtering?

113

---

Which one would you prefer for text analytics python or r?

107

---

What are the major skills data scientist need?

90

---

In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?

164

---

Can you explain cross-validation?

84

---

Can you explain data cleansing?

91

---

What is the difference between an analyst and a data scientist?

94

---

What do you understand by type I vs type ii error?

103

---

Can you explain supervised learning?

98

---

How do you understand by bias variance trade off?

91

---

Can you explain data munging or data wrangling?

98

---

What is difference between sas, r and python programming?

94

---

Can you define feature vector?

95

---