How can you decide if one algorithm is better than the other?
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Why is resampling done?
Define analytics?
In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?
Differentiate between type I and type ii error?
Define cluster sampling?
What is meant by lattice?
What is meant by lattice graphs?
What is churn? How would it help predict and control churn for a customer?
Explain the role of activation function?
What are the principal components?
Explain the difference between data science, machine learning and artificial intelligence?
How will you handle missing data ?
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