Answer / Ram Prakash

Some common unsupervised tasks other than clustering include dimensionality reduction techniques such as Principal Component Analysis (PCA) and Singular Value Decomposition (SVD), anomaly detection, autoencoders, generative adversarial networks (GANs), and association rule mining.

Which library would you prefer for plotting in Python language: Seaborn or Matplotlib or Bokeh?

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How will you choose the most appropriate machine learning algorithm for your classification problem?

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You are given a dataset where the number of variables (p) is greater than the number of observations (n) (p>n). Which is the best technique to use and why ?

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Is naive bayes good?

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Differentiate between inductive and deductive machine learning?

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What is regularization? What kind of problems does regularization solve?

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Explain when should you use classification over regression?

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What are the three types of algorithms?

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Why naïve bayes is called naïve?

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Explain the function of Supervised Learning?

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Is coding required for machine learning?

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Explain the machine learning techniques?

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