How do you use sql in sas, python, r languages?
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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.
What do you understand by parametric and non-parametric methods? Explain with examples.
How are confidence intervals constructed and how will you interpret them?
How to work towards a random forest?
Explain the difference between bayesian estimate and maximum likelihood estimation (mle)?
How do you do for loops in python and r?
What do you understand by type I vs type ii error?
Name three types of biases that can occur during sampling?
Python or R is better for data science?
How will you explain JOIN function in SQL to a 10 year old ?
What is correlation in R?
What is logistic regression? Or state an example when you have used logistic regression recently?
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