Explain how does naive bayes classifier work in machine learning?
How do we know which machine learning algorithm is better for us to solve our problem?
What is backpropagation in machine learning?
What is the confusion matrix in machine learning?
What are classification problems in machine learning?
What is candidate sampling in machine learning?
Why instance based learning algorithm sometimes referred as lazy learning algorithm?
What do you understand by reinforcement learning technique?
Why overfitting occurs?
Is Python necessary for machine learning?
What is the difference between type I and type ii error?
What are the best public data sets for machine learning?
Explain me what is machine learning?
What is difference between a parameter and a hyperparameter?
How do I learn Python machine learning?
