How would you handle an imbalanced dataset?
Explain what is naive bayes in machine learning?
What are the different types of classifiers?
What is symbolic processing?
Explain how do classification and regression differ?
Can you explain rescaling data technique in data pre-processing?
What are confounding variables?
What is Perceptron in Machine Learning?
How a roc curve works?
What is sequence classification?
What is the activation function in Machine Learning?
Is octave good for machine learning?
What are the two methods used for the calibration in Supervised Learning?
How is decision tree pruned?
Is it better to have too many false positives or too many false negatives? Explain.