What is bias – variance tradeoff?
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What assumptions does linear regression machine learning algorithm make?
Which methods are defined for a class of iterators?
What is cart and chaid?
How make you 3d plots/visualizations using numpy/scipy?
How to understand the problems faced during data analysis?
Do gradient descent methods always converge to same point?
Can you explain supervised learning?
What jupyter used?
How can you deal with different types of seasonality in time series modelling?
How will inspect missing data and when are they important for your analysis?
What are the feature vectors?
What is the role of the activation function?
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