Answer / Vinay Kant Verma

Naive Bayes is a popular probabilistic machine learning algorithm based on Bayes' theorem with an assumption of independence among predictors. It's widely used for classification problems, such as spam filtering or text categorization. The algorithm calculates the conditional probability of each class given a set of features to make predictions.

Differentiate between a parameter and a hyperparameter?

1 Answers  

---

Are gaming laptops good for machine learning?

1 Answers  

---

What is supervised versus unsupervised learning?

1 Answers  

---

How does a classifier work?

1 Answers  

---

What according to you, is the standard approach to supervised learning?

1 Answers  

---

Is octave good for machine learning?

1 Answers  

---

What is encoder and decoder in machine learning?

1 Answers  

---

Logistic regression gives probabilities as a result then how do we use it to predict a binary outcome?

1 Answers  

---

What is sequence learning?

1 Answers  

---

What evaluation approaches would you work to gauge the effectiveness of a machine learning model?

1 Answers  

---

What is difference between a parameter and a hyperparameter?

1 Answers  

---

Do you think that treating a categorical variable as a continuous variable would result in a better predictive model?

1 Answers  

---