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.
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Pick up a coin C1 given C1+C2 with probability of trials p (h1) =.7, p (h2) =.6 and doing 10 trials. And what is the probability that the given coin you picked is C1 given you have 7 heads and 3 tails?
What is the jupyter center ?
What is the difference between data science, machine learning and artificial intelligence?
What are the various types of selection bias?
What is linear optimization?
What is systematic sampling?
What is a jupyter notebook?
What do you understand by the selection bias?
A test has a true positive rate of 100% and false positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?
Python is enough for data science ?
Is anaconda free?
Explain the differences between univariate, bivariate and multivariate analysis?
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