When do you need to update the algorithm in data science?
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Describe some assumptions considered important for linear regression?
How can outlier values be treated?
What prior subject is required to become data analyst?
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.
Define feature vector?
What is the common perception of visualization?
How to check the frequency distribution of a categorical variable?
What do you do as a data scientist?
Is 8gb ram enough for data analysis?
What does ITER () do in Python?
What are essential skills and training needed in data Science?
Which methods are defined for a class of iterators?
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