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Machine Learning Resources

‘General’ Interview Questions

What is Feature Scaling? Explain the different feature scaling techniques

What do you mean by noise in the dataset?

What is the difference between Feature Engineering and Feature Selection?

How are Categorical Features represented? (Explain both one-hot and ordinal encoding)

What is the problem with storing sparse two-dimensional training data (feature_vector x n_sample)? What is a space optimal way to store such a matrix?

What is Discretization? When is doing discretization better as opposed to using continuous variable?

What is Feature Binarization? When to use feature binarization?

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