Answer / Arvind Saini

To choose the most appropriate machine learning algorithm for a classification problem, consider factors such as the nature of the data (categorical or numerical), the number of classes, the amount and quality of available data, computational resources, and the desired level of interpretability.

What are the smaller dataset techniques?

1 Answers  

---

What is the trade-off between bias and variance?

1 Answers  

---

How will you know which machine learning algorithm to choose for your classification problem?

1 Answers  

---

Explain how does naive bayes classifier work in machine learning?

1 Answers  

---

What is kernel SVM?

1 Answers  

---

Do I need to learn python for machine learning?

1 Answers  

---

Do you have research experience in machine learning?

0 Answers  

---

What is the general principle of an ensemble method and what is bagging and boosting in ensemble method?

1 Answers  

---

What is the difference between machine learning and regression?

1 Answers  

---

What is conditional probability?

1 Answers  

---

Differentiate between statistics and ML?

1 Answers  

---

What is bayes' theorem? How is it useful in a machine learning context?

1 Answers  

---