Answer / Mahfooz Alam

Bucketing in machine learning refers to dividing the data into groups or buckets based on certain criteria, usually for more efficient processing. This process can help speed up machine learning algorithms, especially when dealing with large datasets.

How Recall and True positive rate are related?

1 Answers  

---

What are the most common types of machine learning task?

1 Answers  

---

What is the difference between bayesian and frequentist?

1 Answers  

---

In what areas Pattern Recognition is used?

1 Answers  

---

How difficult is machine learning?

1 Answers  

---

What skills do you need for machine learning?

1 Answers  

---

Why do we need a validation set and test set? What is the difference between them?

1 Answers  

---

Define a hash table?

1 Answers  

---

Explain me what is machine learning?

1 Answers  

---

If a highly positively skewed variable has missing values and we replace them with mean, do we underestimate or overestimate the values?

1 Answers  

---

What is naive bayes classifier?

1 Answers  

---

Why do we need to convert categorical variables into factor?

1 Answers  

---