Answer / Chandan Bhardwaj

Machine Learning (ML) is extensively used in various aspects of daily life. Some examples include: (1) Recommendation Systems - recommending products, movies, or songs based on user preferences. (2) Email Filtering - filtering spam emails. (3) Speech Recognition - converting speech to text for virtual assistants like Siri and Alexa. (4) Fraud Detection - detecting fraudulent transactions in banking. (5) Image Recognition - recognizing objects, faces, or scenes in photos.

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

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Difference between Classification and Regression?

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Explain the topics in machine learning?

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What is the difference between type I and type ii error?

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Explain the importance of bayes theorem?

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What is data augmentation? Can you give some examples?

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Explain why is naive bayes better than decision tree?

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Can you explain how do you handle missing or corrupted data in a dataset?

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What is Overfitting? And how do you ensure you’re not overfitting with a model?

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When is ridge regression favorable over lasso regression?

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Can r be used for machine learning?

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What is data structure? And what are the different types of data structures supported in r programming?

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