Tell us when should you use classification over regression?
Explain the machine learning techniques?
Explain the difference between L1 and L2 regularization?
Explain the benefit of naive bayes in machine learning?
What is data structure? And what are the different types of data structures supported in r programming?
What are the functions of supervised learning?
What sentiment analysis?
What is Random Forest?
What is data augmentation? Can you give some examples?
What is decision tree classification?
What is batch size machine learning?
How does deductive and inductive machine learning differ?
What is calibration in machine learning?
Can you name some feature extraction techniques used for dimensionality reduction?
What is Genetic Programming?