- Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.
- How will inspect missing data and when are they important for your analysis?
- How will you decide whether a customer will buy a product today or not given the income of the customer, location where the customer lives, profession and gender? Define a machine learning algorithm for this.
- From a long sorted list and a short 4 element sorted list, which algorithm will you use to search the long sorted list for 4 elements.
- How can you compare a neural network that has one layer, one input and output to a logistic regression model?
- How do you treat colinearity?
- How will you deal with unbalanced data where the ratio of negative and positive is huge?
- What is the difference between -
- Stack and Queue
- Linkedin and Array
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