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Here are three data science questions you should study for your next interview. First, what are the assumptions of linear regression? You must mention five assumptions which are linearity, independence, homosidacity, errors follow normal distribution and no multicolonarity. Explain these assumptions clearly. Second, what is gradient descent? This is one of the most favorite data science interview questions out there. Mention that it is an optimization algorithm used to minimize the loss function. Also mention its components like momentum and then also state its impact. Next is what is the role of sigmoid function and log loss in logistic regression. In this mention that the sigmoid function converts a linear output to a probability while log loss measures error by comparing predicted probabilities to actual class labels. Master these and you will be one step closer to your dream data science job. Do like share and subscribe for more.

Here are three data science questions you should study for your next interview. First, what are the assumptions of linear regression? You must mention five ass…