What is the meaning of overfitting in machine learning?
What do you understand by machine learning?
Why overfitting occurs?
Differentiate between inductive learning and deductive learning?
When does regularization become necessary in machine learning?
What are the five popular algorithms we use in machine learning?
What are the functions of unsupervised learning?
What do you understand by decision tree in machine learning?
What is regularization? What kind of problems does regularization solve?
What do you understand by underfitting?
Why do we need to convert categorical variables into factor? Which functions are used to perform the conversion?
What are the similarities and differences between bagging and boosting in machine learning?
What do you understand by the f1 score?
What do you understand by cluster sampling?
What are the necessary steps involved in machine learning project?
