Answer / Rais Ahmed Mansoori

In Python:

1. Iterator: An iterator is an object that allows you to iterate over a collection (like a list or a string) one element at a time without storing the entire collection in memory. It provides a next() method for retrieving the next item and can be used with a loop statement, such as for.
2. Generator: A generator is a special type of iterator that generates values on-the-fly instead of storing them in memory. You can create generators using the yield keyword in Python. Unlike iterators, generators can be paused and resumed.
3. List Comprehension: List comprehensions provide a concise way to create lists based on existing lists or other iterables. They consist of square brackets containing an expression that generates each element in the list.

Can you use machine learning for time series analysis?

1 Answers  

---

what the aim of conducting a/b testing?

1 Answers  

---

Can you provide an example of features extraction?

1 Answers  

---

You own a clothing enterprise and want to improve your place in the market. How will you do it from the ground level ?

1 Answers   Mu Sigma,

---

How will you drop variables using indices in a data frame?

1 Answers  

---

What is meant by Random Forest Classifier?

1 Answers  

---

Explain the difference between a validation set and a test set?

1 Answers  

---

How different is a mean value different from expected value?

1 Answers  

---

What is the difference between Stack and Queue

1 Answers   Amazon,

---

What is the goal of A/B Testing?

1 Answers  

---

What is a recall?

1 Answers  

---

Explain data wrangling?

1 Answers  

---