What is data science? Also, list the differences between supervised and unsupervised learning.
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Define power analysis?
What do you understand by parametric and non-parametric methods? Explain with examples.
What tools or devices help you succeed in your role as a data scientist?
A certain couple tells you that they have two children, at least one of whom is a girl. What is the probability that they have two girls?
while working on a data set, how can you select important variables? Explain
What is pylab?
What are outlier values?
what the aim of conducting a/b testing?
What are you employed pip?
What does Machine Learning mean for the Future of Data Science?
Explain the steps for a data analytics project
Define naive bayes?
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