What does Machine Learning mean for the Future of Data Science?
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Could you draw a comparison between overfitting and underfitting?
On rolling a dice if you get $1 per dot on the upturned face,what are your expected earnings from rolling a dice?
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.
How can outlier values be treated?
What is the jupyter center ?
Who can be scientific data there are three general steps to becoming a data scientist?
Which method in pandas.tools.plotting is used to create scatter plot matrix?
What is meant by sampling? Explain some sampling methods that you know?
How does data cleaning plays a vital role in the analysis?
State some use cases where Hadoop MapReduce works well and where it does not.
What is correlation in R?
What do you mean by graphics devices in data visualization?
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