Answer / Gaurav Kaushik

Decision tree algorithm is a popular supervised learning technique used for classification and regression tasks. It constructs a tree-like model where each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node (terminal node) represents a class label or a value. The tree is built recursively by selecting the best attribute to split the data at each step based on certain criteria.

Tell me how much data will you allocate for your training, validation and test sets?

1 Answers  

---

What are the most common types of machine learning task?

1 Answers  

---

What is conditional probability?

1 Answers  

---

Tell us what is the difference between supervised and unsupervised machine learning?

1 Answers  

---

Explain what is precision and Recall?

1 Answers  

---

What do you understand by decision tree classification?

1 Answers  

---

When should you use classification over regression?

1 Answers  

---

Mention the difference between Data Mining and Machine learning?

1 Answers  

---

How is machine learning (ml) different from artificial intelligence (ai)?

1 Answers  

---

Can you explain the differences between supervised, unsupervised, and reinforcement learning?

1 Answers  

---

What is the difference between machine learning and artificial intelligence?

1 Answers  

---

What is not Machine Learning?

1 Answers  

---