- Can you enumerate the various differences between Supervised and Unsupervised Learning?
- What do you understand by the Selection Bias? What are its various types?
- Please explain the goal of A/B Testing.
- How will you calculate the Sensitivity of machine learning models?
- Could you draw a comparison between overfitting and underfitting?
- Between Python and R, which one would you pick for text analytics and why?
- Please explain the role of data cleaning in data analysis.
- What do you mean by cluster sampling and systematic sampling?
- Please explain Eigenvectors and Eigenvalues.
- Can you compare the validation set with the test set?
- What do you understand by linear regression and logistic regression?
- Please explain Recommender Systems along with an application.
- Could you explain how to define the number of clusters in a clustering algorithm?
- What do you understand by Deep Learning?
- How does Backpropagation work? Also, it state its various variants.
- What do you know about Autoencoders?
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