Answer / Pankaj Jaiswal

A common example of a dataset with a non-Gaussian distribution is income data. Income distribution often follows a power law or lognormal distribution, which are both heavy-tailed and skewed. This means they have long tails that contain many outliers (extremely high or low incomes). Other examples include stock market returns, word frequencies in texts, and earthquake magnitudes.

Can you compare the validation set with the test set?

1 Answers  

---

Which language is best for text analytics? R or python?

1 Answers  

---

what is bias?

1 Answers  

---

Explain the importance of 80/20 rule in model validation?

1 Answers  

---

How to run a pycharm debugging?

1 Answers  

---

How do I open the terminal in pycharm?

1 Answers  

---

How has your prior experience prepared you for a role in data science?

1 Answers  

---

while working on a data set, how can you select important variables? Explain

1 Answers  

---

What is the degree of freedom for lasso?

1 Answers   Adobe,

---

Burn two ropes, one needs 60 minutes of time to burn and the other needs 30 minutes of time. How will you achieve this in 45 minutes of time ?

1 Answers   Citi Bank,

---

What do you understand by normal distribution?

1 Answers  

---

What is an outlier?

1 Answers  

---