List the differences between supervised and unsupervised learning.
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How would you create a taxonomy to identify key customer trends in unstructured data?
What is churn? How would it help predict and control churn for a customer?
How many big Macs does McDonald sell every year in US?
How many sorting algorithms are available?
Explain the difference between overfitting and underfitting?
You are given a training dataset of users that contain their demographic details, the pages on Facebook they have liked so far and results of psychology test based on their personality i.e. their openness to like FB pages or not. How will you predict the age, gender and other demographics of unseen data?
What are the principal components?
Implement a sorting algorithm for a numerical dataset in Python.
What are Important things to remember for ggplot?
During analysis, how do you treat missing values?
How will you check if an element 25 is present in a vector?
Do you prefer python or r for text analytics?