Answer / Om Paul

Principal components are a set of variables that describe the maximum variance in a dataset. They are derived through a process called principal component analysis (PCA). PCA is used to reduce the dimensionality of data while retaining as much information as possible.

What is jupyter ?

1 Answers  

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You own a clothing enterprise and want to improve your place in the market. How will you do it from the ground level ?

1 Answers   Mu Sigma,

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Explain reinforcement learning.

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Describe some assumptions considered important for linear regression?

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Describe the various steps involved while carrying out an analytical project?

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Could you explain how to define the number of clusters in a clustering algorithm?

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1 Answers  

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