Differentiate between regression and classification algorithms?
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What do you mean by graphics devices in data visualization?
How will you define the number of clusters in a clustering algorithm?
What are eigenvalue and eigenvector?
Explain the role of activation function?
What is the central limit theorem?
Explain the difference between overfitting and underfitting?
What is need of principal component analysis?
How can outlier values be treated?
What is the difference between supervised learning an unsupervised learning?
What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression?
Why do we need generators in Python?
Do gradient descent methods always converge to same point?
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