How has your prior experience prepared you for a role in data science?
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Are the expected value and mean value different?
What is missing value imputation? How do you handle missing values in python or r?
What do you understand by Poisson distribution?
What is data science? Also, list the differences between supervised and unsupervised learning.
What is data science? How would you say it is similar or different to business analytics and business intelligence?
How does data cleaning plays a vital role in analysis?
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?
What is the best programming language to use in data science?
What are decorators in Python?
Count the total number of trees in United States.
How will you test a machine learning model for accuracy?
What is a recommender system?