Answer / Prabhat Chaudhary

Binary classification is a type of supervised learning problem in which the goal is to predict whether an example belongs to one of two possible classes, such as yes or no, true or false, 1 or 0.

How is a decision tree pruned?

1 Answers  

---

What is the difference between supervised and unsupervised learning?

1 Answers  

---

Give a popular application of machine learning that you see on day to day basis?

1 Answers  

---

What according to you, is more important between model accuracy and model performance?

1 Answers  

---

How do I become a machine learning scientist?

1 Answers  

---

What is the difference between a generative and discriminative model?

1 Answers  

---

Explain the Algorithm Technique of Unsupervised Learning in Machine Learning?

1 Answers  

---

Does 100% precision mean that our model predicts all the values correctly?

1 Answers  

---

What is false positive and false negative in terms of machine learning?

1 Answers  

---

Which is better for image classification? Supervised or unsupervised classification? Justify.

1 Answers  

---

Is r better than python for machine learning?

1 Answers  

---

You are given a dataset where the number of variables (p) is greater than the number of observations (n) (p>n). Which is the best technique to use and why ?

1 Answers  

---